#AI Full Stack Engineer!

[techentry]

The Essential Tools Every MERN/MEAN + AI Developer Should Know

As web development evolves, the need for full-stack developers with expertise in MERN (MongoDB, Express.js, React, Node.js) and MEAN (MongoDB, Express.js, Angular, Node.js) stacks is growing rapidly. These technologies, combined with Artificial Intelligence (AI), enable developers to build smart, responsive, and data-driven applications. To excel in this domain, developers need to master a set of essential tools that allow them to create robust and scalable AI-powered web applications.

In this blog, we’ll cover the most crucial tools every MERN/MEAN + AI developer should know, categorized into backend, frontend, database, and other development tools. If you’re taking a MERN stack course or a full stack web development course, mastering these tools will make you stand out in the field.

Backend Development Tools

1. Node.js

Node.js is at the core of both MERN and MEAN stacks. It enables developers to execute JavaScript code on the server, allowing full-stack JavaScript development. Its non-blocking architecture makes it perfect for real-time applications and handling large amounts of data. Whether you're enrolled in a full stack development course or a software development course, mastering Node.js will give you the skills necessary to handle high-demand applications.

2. Express.js

If you're pursuing a full stack developer training or taking a MERN stack developer course, you'll encounter Express.js — a fast, minimalist web framework for Node.js. Express simplifies backend development by providing essential features like routing, middleware integration, and easy API creation. This makes it an essential tool for building RESTful APIs and integrating AI features into web applications.

3. Brain.js

For developers integrating AI features like pattern recognition, Brain.js is a valuable library. It's ideal for those enrolled in an Artificial Intelligence Course or exploring AI Courses & Tutorials. Brain.js simplifies the process of building neural networks in JavaScript, allowing developers to integrate AI into their MERN/MEAN projects easily.

4. TensorFlow.js

For more advanced AI implementations, TensorFlow.js is a go-to library. It allows developers to develop, train, and run machine learning models in JavaScript. If you're looking for the best AI courses for beginners, TensorFlow.js is a great tool to get started with. By integrating it into your backend using Node.js, you can run sophisticated AI models for tasks like image recognition or predictive analytics.

Front End Development Tools

5. React

If you're pursuing a MERN stack course, React is the frontend framework you'll need to master. React’s component-based architecture is perfect for building dynamic UIs, and it integrates seamlessly with AI features like real-time data rendering. React’s ecosystem, including tools like Redux for state management and React Hooks for handling state and side effects, makes it an excellent choice for building AI-driven interfaces.

6. Angular

For those enrolled in a MEAN stack program or a full stack web development course, Angular is the go-to framework. Angular's two-way data binding, dependency injection, and RxJS (Reactive Extensions for JavaScript) make it ideal for building single-page applications (SPAs) with real-time AI features such as data-driven visualizations and predictive analytics.

Database Tools

7. MongoDB

A central part of both MERN and MEAN stacks, MongoDB is a NoSQL database designed to store unstructured data. Its flexibility makes it ideal for AI-powered applications that need to manage large datasets, such as user behavior logs or real-time analytics. If you're studying in a MERN stack developer course, MongoDB will be the primary database you'll work with.

8. MySQL

For developers working with structured data, MySQL is a strong choice. This relational database is often used in combination with AI tools like TensorFlow when handling structured data such as user accounts, transactions, and logs.

Other Essential Tools

9. Visual Studio Code (VS Code)

Visual Studio Code is an essential tool for any developer. It offers built-in Git support, a powerful integrated terminal, and a wide array of extensions for JavaScript, Node.js, and AI.

10. AWS (Amazon Web Services)

As cloud computing becomes integral to web development, AWS is a must-know platform. With services like Amazon EC2 for hosting, S3 for storage, and Lambda for serverless computing, AWS provides the infrastructure to scale your applications.

11. Postman

Postman is an API testing tool that simplifies interaction with your backend services. If you're developing APIs to integrate AI features, Postman is indispensable for testing and validating requests.

12. Docker

Docker allows you to containerize your application, ensuring it runs consistently across different environments. It's an essential tool for modern development practices, especially for those pursuing a full stack web developer course.

13. GitHub

Version control is key for any web development project, and GitHub is the industry standard for collaborative development.

14. Kubernetes

Kubernetes is essential for automating the deployment, scaling, and management of containerized applications.

15. Swagger

Swagger is an open-source tool used to document APIs, making it easier to communicate how your backend services work.

Conclusion: Master These Tools with TechEntry

The tools mentioned above form the backbone of modern MERN/MEAN + AI development. Whether you're building dynamic, AI-powered web applications or managing large datasets, mastering these tools is crucial for success in today’s tech landscape.

If you’re ready to dive deeper and learn how to use these tools effectively, TechEntry offers comprehensive courses like the MERN stack development course, full stack web development course, and Artificial Intelligence Course. These courses are designed to help you master the essential tools and techniques to become a skilled MERN/MEAN + AI developer.

Why TechEntry? Hands-on Learning: Gain practical experience through real-world projects. Industry-Standard Tools: Learn the latest tools and technologies such as Node.js, MongoDB, TensorFlow, AWS, and more. Flexible Learning Options: Whether you prefer online or offline learning, we offer both to suit your schedule. Career Support: We offer placement assistance to help you land your dream job as a full stack developer or AI expert.

Take the next step in your career and unlock your potential with TechEntry. Whether you're looking for the best Frontend development course, best backend development course, full stack developer training, or the best AI courses for beginners, our programs are designed to equip you with the skills businesses need today.

[kamalkafir-blog]

Project Analyst

Job title: Project Analyst Company: Sage Publications Job description: desired. Project Management, Business Analysis, and/or Scrum Master certification If you have a disability and need… Expected salary: Location: London Job date: Sun, 29 Jun 2025 00:56:05 GMT Apply for the job now!

[nikhilvaidyahrc]

Highest Paying IT Jobs in India in 2025: Roles, Skills & Salary Insights

Published by Prism HRC – Best IT Job Consulting Company in Mumbai

India's IT sector is booming in 2025, driven by digital transformation, the surge in AI and automation, and global demand for tech talent. Whether you're a fresher or a seasoned professional, knowing which roles pay the highest can help you strategize your career growth effectively.

This blog explores the highest-paying IT jobs in India in 2025, the skills required, average salary packages, and where to look for these opportunities.

Why IT Jobs Still Dominate in 2025

India continues to be a global IT hub, and with advancements in cloud computing, AI, cybersecurity, and data analytics, the demand for skilled professionals is soaring. The rise of remote work, startup ecosystems, and global freelancing platforms also contributes to higher paychecks.

1. AI/ML Engineer

Average Salary: ₹20–40 LPA

Skills Required:

Python, R, TensorFlow, PyTorch

Deep learning, NLP, computer vision

Strong statistics and linear algebra foundation

Why It Pays Well:

Companies are pouring investments into AI-powered solutions. From chatbots to autonomous vehicles and predictive analytics, AI specialists are indispensable.

2. Data Scientist

Average Salary: ₹15–35 LPA

Skills Required:

Python, R, SQL, Hadoop, Spark

Data visualization, predictive modelling

Statistical analysis and ML algorithms

Why It Pays Well:

Data drives business decisions, and those who can extract actionable insights are highly valued. Data scientists are among the most sought-after professionals globally.

3. Cybersecurity Architect

Average Salary: ₹18–32 LPA

Skills Required:

Network security, firewalls, encryption

Risk assessment, threat modelling

Certifications: CISSP, CISM, CEH

Why It Pays Well:

With rising cyber threats, data protection and infrastructure security are mission critical. Cybersecurity pros are no longer optional—they're essential.

4. Cloud Solutions Architect

Average Salary: ₹17–30 LPA

Skills Required:

AWS, Microsoft Azure, Google Cloud

Cloud infrastructure design, CI/CD pipelines

DevOps, Kubernetes, Docker

Why It Pays Well:

Cloud is the backbone of modern tech stacks. Enterprises migrating to the cloud need architects who can make that transition smooth and scalable.

5. Blockchain Developer

Average Salary: ₹14–28 LPA

Skills Required:

Solidity, Ethereum, Hyperledger

Cryptography, smart contracts

Decentralized app (dApp) development

Why It Pays Well:

Beyond crypto, blockchain has real-world applications in supply chain, healthcare, and fintech. With a limited talent pool, high salaries are inevitable.

6. Full Stack Developer

Average Salary: ₹12–25 LPA

Skills Required:

Front-end: React, Angular, HTML/CSS

Back-end: Node.js, Django, MongoDB

DevOps basics and API design

Why It Pays Well:

Full-stack developers are versatile. Startups and large companies love professionals who can handle both client and server-side tasks.

7. DevOps Engineer

Average Salary: ₹12–24 LPA

Skills Required:

Jenkins, Docker, Kubernetes

CI/CD pipelines, GitHub Actions

Scripting languages (Bash, Python)

Why It Pays Well:

DevOps reduces time-to-market and improves reliability. Skilled engineers help streamline operations and bring agility to development.

8. Data Analyst (with advanced skillset)

Average Salary: ₹10–20 LPA

Skills Required:

SQL, Excel, Tableau, Power BI

Python/R for automation and machine learning

Business acumen and stakeholder communication

Why It Pays Well:

When paired with business thinking, data analysts become decision-makers, not just number crunchers. This hybrid skillset is in high demand.

9. Product Manager (Tech)

Average Salary: ₹18–35 LPA

Skills Required:

Agile/Scrum methodologies

Product lifecycle management

Technical understanding of software development

Why It Pays Well:

Tech product managers bridge the gap between engineering and business. If you have tech roots and leadership skills, this is your golden ticket.

Where are these jobs hiring?

Major IT hubs in India, such as Bengaluru, Hyderabad, Pune, Mumbai, and NCR, remain the hotspots. Global firms and unicorn startups offer competitive packages.

Want to Land These Jobs?

Partner with leading IT job consulting platforms like Prism HRC, recognized among the best IT job recruitment agencies in Mumbai that match skilled candidates with high-growth companies.

How to Prepare for These Roles

Upskill Continuously: Leverage platforms like Coursera, Udemy, and DataCamp

Build a Portfolio: Showcase your projects on GitHub or a personal website

Certifications: AWS, Google Cloud, Microsoft, Cisco, and niche-specific credentials

Network Actively: Use LinkedIn, attend webinars, and engage in industry communities

Before you know

2025 is shaping up to be a landmark year for tech careers in India. Whether you’re pivoting into IT or climbing the ladder, focus on roles that combine innovation, automation, and business value. With the right guidance and skillset, you can land a top-paying job that aligns with your goals.

Prism HRC can help you navigate this journey—connecting top IT talent with leading companies in India and beyond.

- Based in Gorai-2, Borivali West, Mumbai - www.prismhrc.com - Instagram: @jobssimplified - LinkedIn: Prism HRC

[kingtainorman]

This AI Technology Will Replace Millions (Here's How to Prepare)

AI agents are here to stay. Our world is transforming around us at a pace no one ever thought possible in this lifetime. Man finally has a real chance at merging with technology in a meaningful way; in a helpful way. This moment in history marks the true beginning of this revolution. ~Tai

[sierraconsult]

Embark on a journey into the future of technology! Exciting opportunities await skilled VR Developers ready to shape immersive worlds and redefine human interaction. Join us in crafting the next frontier of virtual reality experiences. Your dream job in VR development starts now!

[liveblack]

[techactive]

AI/ML Consulting: Building Custom AI Solutions for Your Business

Unlock the power of AI/ML for your business. Our expert AI/ML consultants develop custom solutions to automate tasks, gain insights, and make smarter decisions.

[storyofmychoices]

PB shared the announcement on their blog.

I googled "Series Entertainment" and found article about this news and the article starts with:

Series Entertainment – itself a game development company that "pioneer[s] the use of generative AI to transform imaginative ideas into unforgettable gaming experiences" – says the acquisition "signifies Series' strategy to build out its studio system to deliver a diverse catalog of different genres that leverage its world class development technology, the Rho Engine", the world’s first "AI-native, multimodal full-stack game creation platform". [X]

And here is another article

Series Entertainment, a fast-growing AI game development company, has acquired interactive fiction mobile game studio Pixelberry.

From the companies website...

So basically we told Choices we didn't want AI and they sold the company to an AI entertainment company 🤦‍♀️

[chamiryokuroi]

Hate when AI “Artists” excuse themselves with “But I am in STEM I can’t draw! I am not creative!”

I am a software engineer with 9 years in experience and working as a full stack developer, and guess what? I can pick up a pencil and draw, stop being fucking lazy and learn.

Also a non creative developer is the worst kind of developer, you have to be creative to figure out how to solve issues on your code with the tools available!

[sleekervae]

Solo Mode [2] jackson wang x fem!oc

Masterlist

Pairing: jackson wang/fem!oc

Summary: thin walls

Warnings: strong language, alcohol consumption, coding speak

Word Count: 2.4k

Heather hadn’t even brushed her hair.

She was running on four hours of sleep, a triple shot Americano, and the raw fury of knowing Marcus Tan was on today’s dev sprint Zoom call.

She sat cross-legged at her desk, still in her red hoodie and sleep shorts, eyes scanning lines of C# while the meeting intro dragged on. Her project—a procedurally generated survival sim with adaptive enemy AI—had been in the works for ten brutal months. She was two weeks out from the demo for Steam Next Fest. All she needed was the dev leads' sign-off.

And then Marcus spoke.

“This is ambitious, Heather,” he said, with a smug little laugh, like he couldn’t help himself. “But I mean—are you confident your NPC behavior tree can handle real-time pathfinding in an open environment without tanking the framerate? I skimmed your Git. The logic looks a little… over-engineered.”

Translation: You made it too complicated. Probably because you don’t actually know what you’re doing.

Heather’s jaw ticked. The other dev leads said nothing. Typical. Men with job titles like Senior Technical Advisor always got real quiet when it wasn’t their codebase getting picked apart.

She unmuted, voice calm, deadly.

“Marcus, it’s nice you skimmed my scripts. Must’ve been a challenge—especially since your own enemy AI gets stuck on geometry every time a collider shifts two units to the left.”

Marcus blinked. “I beg your pardon?”

“You hardcoded enemy patrol routes in an open world. Amateur hour. I ran your last build through my profiler—it’s a frame-dropping nightmare with memory leaks in every scene. But by all means, let’s talk about my logic tree.”

Someone on the call snorted.

Heather kept going, eyes flat. “If you’d like me to optimize it for you, I charge one-sixty an hour. Friends and family excluded.”

Marcus turned red. One of the producers gave a reluctant chuckle. “Well, thank you, Ms. Okimaw. That was… enlightening.”

Heather muted again, smiling like sunshine with a knife behind her teeth.

She was tired. She hadn’t eaten. Her inbox had a dozen flagged bugs and a texture artist in full meltdown.

But she’d be damned if she let some overhyped codeboy undermine her AI system on a Wednesday.

The hours slipped away like sand in an hourglass, only she couldn’t see the grains. She ate when she could—an apple, some crackers, a half-forgotten sandwich from the fridge—but food barely registered. It was just her, the code, the unyielding need to push through. If she could fix this one bug, nail this one algorithm, she’d feel like she could breathe. Maybe for a second.

In between lines of code, Heather brewed cup after cup of tea—peppermint, Earl Grey, chamomile, whatever she had. The smell of it wafted through her apartment, a strange comfort as she stared at her screen, fighting the heady mix of exhaustion and caffeine jitters. She answered a text from her sister about babysitting next weekend, briefly glancing at the request before dropping a response that could��ve been copied from a hundred other replies: "Sure. I’ve got it."

Her nephew, Theo could be sweet—when he wasn’t running around like a miniature tornado, causing absolute chaos. At a year and a half, Heather’s nephew, Theo, was at that age where everything was a discovery and a mess all at once. His giggle was infectious, but so was the mess he created. It was like a trail of destruction followed in his wake, but with those big brown eyes and that chubby face, it was impossible to stay mad at him for long.

Heather didn’t mind babysitting. She loved him, of course. But the reality of it always hit her like a brick. He was everywhere. He'd reach for her coffee mug, pull down her papers, knock over whatever stack of books she’d been meaning to look through. Theo's tiny hands were a constant reminder of the world she had to navigate through—soft, innocent, but wild in its unpredictability.

But she couldn’t say no.

The clock ticked toward midnight as she continued to work, her fingers flying across the keyboard. The only sound was the hum of her computer and the occasional scrape of her pen on a notebook when she needed to jot something down. When the code finally clicked—when the algorithm finally behaved, when the last bug was slain with ruthless precision—she sighed, slumping in her chair. Success, but at what cost? Her back ached, her eyes burned, and sleep was nowhere near close.

That’s when it came—barely audible, a small slip through the walls. Jackson’s voice, muffled by the thin insulation of their apartments, cutting through the quiet like a shard of glass.

“...I don’t know anymore, man. I can’t keep doing this...”

Her fingers stilled, mind still buzzing from the adrenaline of the work but now focused entirely on the strange sound from next door. Was he talking to a manager? A bandmate?

The words came through the thin walls, jagged, raw.

“I thought it was... everything. But now? It’s just a fucking routine. And I... I don’t know if I can keep going. Don’t know what the hell I’m doing. I feel like I’m drowning in it.”

He wasn’t slurring because he was drunk, not this time. But his voice was tired. Cracked.

“I can’t—fuck, I just—need to... fuck.” The words tapered off, a pause followed by a long, ragged sigh. Heather didn’t know if he was talking to someone or just talking to himself.

But it stopped her in her tracks.

She leaned back in her chair, hands limp on the arms, a cold lump settling in her stomach. She hadn’t expected this. She hadn’t expected to hear this—the kind of despair that wasn’t laced with bravado or the bullshit facade of a popstar. Jackson, the guy who pissed her off every day with his smug smile and excessive confidence, was human.

And that pissed her off more than anything.

She didn’t know why. Maybe because it made him seem so small. So fucking vulnerable—and she hated it. She hated that he was just like everyone else, fumbling through life, pretending to have it all figured out when really, they were all just—lost.

“Shut the fuck up, Heather,” she muttered to herself, swiping her hands over her face, trying to shake off the sensation. “None of your business.”

But it lingered, gnawing at her, and she found herself standing up before she even realized it, her heart pounding in her chest. She wasn’t sure why, but she crossed to the room and stood there for a minute, staring at wall separating Jackson’s apartment from hers.

It didn’t make sense. This shouldn’t matter to her. She was pissed at him, irritated with him, ready to spit fire whenever he crossed her path.

But hearing him like that—it made her feel like a hypocrite. Because in her own way, wasn’t she just as lost? Just as messed up? Trying to make sense of her own future, trying to keep everything together despite the pressure?

She grabbed her phone, her fingers hovering over the screen before she scrolled past Marcus’ latest condescending email to find a playlist of the most aggressive songs she could think of. MCR, Rage Against the Machine, Korn, something to drown out the sound of Jackson’s broken words still echoing in her head.

But somehow, the music didn’t help. It just made her feel worse.

She sat back down at her desk, fingers trembling as she pulled up the next line of code—just one more thing to do. One more thing to fix. Because fixing things was the only way she knew how to cope.

It came to a point that Heather didn’t remember closing her eyes.

One second she was staring blankly at her screen, trying to convince herself that finishing one more function would help quiet the noise in her chest—and the next, her cheek was pressed against her arm, body curled awkwardly in her desk chair. The ambient glow of the monitor washed over her face, casting soft shadows against the clutter of mugs and scribbled-on Post-its.

It was quiet.

No music. No pounding bass. No drunken laughter seeping through thin walls.

Just blissful, dense silence.

Her breath evened out. Her shoulders slumped. And for the first time in what felt like weeks, Heather let go.

Then—

Click.

A metallic jangle.

Click-click-scrape.

Heather’s eyes flew open. The room was still half-lit from her monitor, but her brain lagged, trying to process the sound.

The door handle rattled.

“Fuck—what the—shit,” came a low voice, male, muttered, thick with frustration and maybe... alcohol.

Another jangle of keys, a clumsy scraping against metal.

Heather was on her feet before her body even agreed to be awake, every nerve in her spine snapping upright. She scanned the desk—no scissors, no box cutter—and grabbed the nearest thing in reach: a full-size aerosol can of deodorant.

Not ideal, but it could sting. If she aimed for the eyes.

Barefoot and tense, she padded toward the entryway, deodorant raised like a weapon, adrenaline flooding her bloodstream in slow, icy pulses.

The keys jangled again, harder this time.

“Fucking hell,” the voice hissed. “Why won’t it—? Shit—”

Heather flicked the lock and yanked the door open, deodorant raised.

And there he was.

Jackson fucking Wang. Hoodie half-zipped, sweatpants low on his hips, sunglasses pushed up into his hair, blinking at her like he couldn’t quite believe she was real.

He had a ring of keys clutched in one hand and a sheepish, very slightly drunk expression on his stupidly symmetrical face.

“This,” she growled, “is not your apartment.”

Jackson blinked again, then frowned at the key he was holding. “No shit,” he muttered, like he was more annoyed at the key than her. “My bad. They all look the same in the dark.”

“It’s four a.m.”

“Is it?” He squinted. “Feels more like... two. Three?”

Heather stepped forward, deodorant still raised. “Do you make a habit of breaking into women’s apartments at dawn, or am I just the lucky one?”

His eyes tracked the deodorant can. “You gonna mace me with Old Spice?”

“It’s eucalyptus mint,” she deadpanned.

He smiled. Not a full grin—something half-lidded and exhausted, the kind of expression someone wore when they were too tired to lie.

“Didn’t mean to scare you, Murder Eyes. Swear.”

“You didn’t scare me. You pissed me off.”

Jackson nodded, pressing a hand to the bridge of his nose. “Story of my fucking life.”

Heather stood there, not lowering the can, not stepping back. He looked wrecked. Not party-wrecked. Not fame-wrecked. Just... human-wrecked. Like someone who hadn’t slept. Who’d maybe had a few too many drinks and was using humor to hold his ribs together.

It made something unpleasant stir in her chest.

“Go to bed, Jackson.”

“Trying.”

“Try harder. Somewhere that isn’t my fucking door.”

He gave a lazy salute, then shuffled back down the hallway, keys dangling from one hand like a bell on a defeated cat.

Heather stood in the doorway for a moment longer, deodorant still raised, heart pounding loud in her ears. She watched him disappear into his own apartment, the door clicking shut behind him.

Then—and only then—did she shut hers.

Locking it twice.

Just in case.

The taste in his mouth was battery acid and regret.

Jackson squinted into the sterile white glare of the penthouse window. LA sun was merciless, even behind blackout curtains. He’d left them cracked—some masochistic instinct that made him think punishment was good for the soul. Or maybe just his hangover-addled brain refusing to function like a normal person’s.

“Shit,” he muttered, rubbing his hands over his face. There was a faint throb at his temple, and his body felt like someone had stuffed guilt and tequila into a protein shake and slammed it into his chest.

Heather. Fuck.

He could still see her—oversized red hoodie sliding off one shoulder, hair wild from sleep, eyes sharper than any blade he’d ever been cut by. Holding a can of deodorant like she was seconds away from macing him. Because he’d mistaken her door for his own at four-fucking-AM and tried to open it. Genius move.

Jackson flopped onto the couch and stared at the ceiling. “Smooth, Magic Man.”

Except that part of him—the part he kept buried under tattoos and sarcasm and his relentless gym routine—couldn’t stop thinking about how small she’d looked, drowning in fabric and the hallway light shining like a spotlight. Like maybe she hadn’t fallen asleep. Like maybe she’d hadn't slept properly in days.

He should apologize. If he had her number, maybe he’d send a message. But he didn’t. And if he knocked, she’d probably open the door just to punch him in the face.

So instead, he thought about how the hell he got here.

The tour had been a glittering dream turned hellscape. Magic Man blew up faster than he could breathe. Every venue sold out. Every show a high—until it wasn’t. Until he couldn’t tell who was touching him anymore, who was calling the shots. Until the stylists, the labels, the handlers all blurred into one, squeezing every drop of charisma and charm out of him like a sponge they never intended to refill.

And Lia.

God, Lia.

She’d told him she loved him while packing her designer weekender bag to fly to Ibiza with some hedge fund asshole. She’d kissed him goodbye like it was his fault. Like he’d driven her to it. Too intense. Too emotional. Too everything. She’d said, “You’re exhausting, Jackson. I’m not your therapist. I’m not your anchor.”

Then she’d ghosted him for three months. When she finally resurfaced, it was with a carefully curated Instagram carousel captioned: “healing era 🤍”

He’d deleted every photo of her that night and punched a mirror.

So he’d come here. LA. Where no one knew what he was running from. Just another rich asshole in a penthouse with a liquor cabinet and a streaming mic.

Work out. Record a little. Sleep a little less. Hit the rooftop parties. Keep the edge off.

And now... now he had a neighbor with razor wit and bedroom eyes who wore socks with slides and made drinking tea look like a sacred ritual. Who hated his guts. Who he couldn’t stop thinking about.

Jackson sighed, grabbed his phone, and typed for Mildew's online ordering page. An iced American, two shots of caramel syrup, and a honey lemon scone.

He paid, threw down the phone and rubbed at his jaw.

“She’s either gonna throw it out,” he muttered. “Or use it to choke me.”

Still, part of him hoped she wouldn’t.

[royalinkblot]

Wings of Home – Chapter Four: Jetstreams and Fireworks

The Kazansky-Mitchell house sat just one stretch of sand away from the Bradshaw residence, both nestled along the Pacific coastline. It was a perfect setup—two families bound by flight, love, and legacy. Between the homes, the twins had free reign, often found barefoot and sun-kissed, darting between one kitchen and the next in pursuit of snacks, science experiments, or family gossip. It was home. It was peaceful.

But peace rarely lasted long where Ace and Nikola were involved.

At Orion Academy for the Gifted, the twins had already made headlines—twice. Once for accidentally overriding a drone simulation to launch a real test flight, and once for designing an AI that outperformed its instructor.

“They rewired the campus surveillance to track the cafeteria pizza delivery schedule,” one baffled teacher had told Maverick in a conference.

“Efficiency is good,” Maverick replied, barely suppressing a grin.

Back at home, chaos gave way to a more serious storm.

Tom sat in his study, surrounded by military advisors and one very sharply dressed political envoy. His reputation was pristine, his record unmatched, and his tactical brilliance revered. But being offered the position of Secretary of the Navy came with knives in the dark—whispers about his health, his personal life, his marriage to a man, and the twins he was helping raise.

Tom leaned forward across the table, eyes like ice and voice like steel. “If my marriage and my children are what disqualify me in some eyes, then the Navy needs me more than I need the title.”

The room went dead silent.

A general finally cleared his throat. “Understood, Admiral Kazansky. You’ll have our full support.”

Meanwhile, Maverick was handed a different kind of proposition—a classified black ops mission requiring deep airstrike expertise and high-risk insertion. The same kind of mission that had nearly ended everything back in Hop 31.

He remembered the burning wreckage, the panic in his chest when Goose was dragged out, coughing and bleeding but somehow alive. He remembered the moment he realized he could have lost everything.

Now, the weight returned.

“You don’t have to do this,” Goose said, sitting across from him at Need for Speed Solutions. “You’ve got nothing left to prove.”

“I know,” Maverick said quietly. “That’s what scares me. I don’t need it—but someone thinks I still matter on the battlefield.”

“You do,” Goose said. “But you matter more here.”

That night, the porch light flickered between the two houses, a signal between husbands.

Tom stepped out first, met halfway by Maverick.

“You thinking about going?” Tom asked softly.

Maverick looked at him. “Only if you say yes to Washington.”

They both smiled, full of scars and history.

“God help the world if we both go back to war,” Tom murmured, pulling him in.

Across the yard, Bradley and Jake sat under the stars, Engine curled at their feet and the twins asleep inside. The laughter from the earlier chaos had faded into a quiet hum.

Jake shifted. “So...you didn’t run. After I met everyone.”

“Of course not,” Bradley said. “You fit.”

Jake looked at him, eyes gentle. “I’ve been in love with you since the first time you punched me in the ready room.”

Bradley blinked. “That was your third day on base.”

Jake grinned. “Slow learner.”

Bradley took his hand. “I love you too.”

They didn’t need anything more than that.

The following morning, Tom and Maverick sat at the kitchen table surrounded by glitter, paper planes, and a stack of invitations. July 29 was fast approaching, and the twins' birthday bash was shaping up to be a full-scale operation.

“They want a ‘science dogfight space party,’” Maverick said, reading from Nikola’s handwritten request.

“What does that mean?” Tom asked.

“I think we’re building a rocket and staging a simulated aerial combat using drones,” Maverick guessed.

“We’re so getting shut down by the HOA,” Tom deadpanned.

“And Slider’s coming. As a senator. Married to a pediatric neurosurgeon now.”

“Wonderful,” Tom sighed. “I’ll make sure he gets the drone with the slow response time.”

Maverick smirked. “Hollywood and Wolfman are planning to come too. Admirals now. Maybe they’ll talk Slider into funding our backup power grid.”

“Oh good,” Tom said, tossing confetti into the air. “A backyard full of Navy brass, an experimental rocket, two genius five-year-olds, and Jake and Bradley trying not to make out in the photo booth.”

Maverick laughed. “You love this.”

“I really, really do,” Tom said, kissing him.

And so, the countdown to July 29 began.

Chapter one Chapter two Chapter three Chapter five

[kamalkafir-blog]

VodafoneThree - Physical Security Specialist

Job title: VodafoneThree – Physical Security Specialist Company: Vodafone Job description: a network the UK can count on – one that connects people, places and potential. Because no matter where you live…, that future’s being built – today. We’re creating more than the UK’s best network. We’re helping close the digital divide… Expected salary: Location: Bristol Area Job date: Thu, 19 Jun 2025…

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Moments Lab Secures $24 Million to Redefine Video Discovery With Agentic AI

New Post has been published on https://thedigitalinsider.com/moments-lab-secures-24-million-to-redefine-video-discovery-with-agentic-ai/

Moments Lab Secures $24 Million to Redefine Video Discovery With Agentic AI

Moments Lab, the AI company redefining how organizations work with video, has raised $24 million in new funding, led by Oxx with participation from Orange Ventures, Kadmos, Supernova Invest, and Elaia Partners. The investment will supercharge the company’s U.S. expansion and support continued development of its agentic AI platform — a system designed to turn massive video archives into instantly searchable and monetizable assets.

The heart of Moments Lab is MXT-2, a multimodal video-understanding AI that watches, hears, and interprets video with context-aware precision. It doesn’t just label content — it narrates it, identifying people, places, logos, and even cinematographic elements like shot types and pacing. This natural-language metadata turns hours of footage into structured, searchable intelligence, usable across creative, editorial, marketing, and monetization workflows.

But the true leap forward is the introduction of agentic AI — an autonomous system that can plan, reason, and adapt to a user’s intent. Instead of simply executing instructions, it understands prompts like “generate a highlight reel for social” and takes action: pulling scenes, suggesting titles, selecting formats, and aligning outputs with a brand’s voice or platform requirements.

“With MXT, we already index video faster than any human ever could,” said Philippe Petitpont, CEO and co-founder of Moments Lab. “But with agentic AI, we’re building the next layer — AI that acts as a teammate, doing everything from crafting rough cuts to uncovering storylines hidden deep in the archive.”

From Search to Storytelling: A Platform Built for Speed and Scale

Moments Lab is more than an indexing engine. It’s a full-stack platform that empowers media professionals to move at the speed of story. That starts with search — arguably the most painful part of working with video today.

Most production teams still rely on filenames, folders, and tribal knowledge to locate content. Moments Lab changes that with plain text search that behaves like Google for your video library. Users can simply type what they’re looking for — “CEO talking about sustainability” or “crowd cheering at sunset” — and retrieve exact clips within seconds.

Key features include:

AI video intelligence: MXT-2 doesn’t just tag content — it describes it using time-coded natural language, capturing what’s seen, heard, and implied.

Search anyone can use: Designed for accessibility, the platform allows non-technical users to search across thousands of hours of footage using everyday language.

Instant clipping and export: Once a moment is found, it can be clipped, trimmed, and exported or shared in seconds — no need for timecode handoffs or third-party tools.

Metadata-rich discovery: Filter by people, events, dates, locations, rights status, or any custom facet your workflow requires.

Quote and soundbite detection: Automatically transcribes audio and highlights the most impactful segments — perfect for interview footage and press conferences.

Content classification: Train the system to sort footage by theme, tone, or use case — from trailers to corporate reels to social clips.

Translation and multilingual support: Transcribes and translates speech, even in multilingual settings, making content globally usable.

This end-to-end functionality has made Moments Lab an indispensable partner for TV networks, sports rights holders, ad agencies, and global brands. Recent clients include Thomson Reuters, Amazon Ads, Sinclair, Hearst, and Banijay — all grappling with increasingly complex content libraries and growing demands for speed, personalization, and monetization.

Built for Integration, Trained for Precision

MXT-2 is trained on 1.5 billion+ data points, reducing hallucinations and delivering high confidence outputs that teams can rely on. Unlike proprietary AI stacks that lock metadata in unreadable formats, Moments Lab keeps everything in open text, ensuring full compatibility with downstream tools like Adobe Premiere, Final Cut Pro, Brightcove, YouTube, and enterprise MAM/CMS platforms via API or no-code integrations.

“The real power of our system is not just speed, but adaptability,” said Fred Petitpont, co-founder and CTO. “Whether you’re a broadcaster clipping sports highlights or a brand licensing footage to partners, our AI works the way your team already does — just 100x faster.”

The platform is already being used to power everything from archive migration to live event clipping, editorial research, and content licensing. Users can share secure links with collaborators, sell footage to external buyers, and even train the system to align with niche editorial styles or compliance guidelines.

From Startup to Standard-Setter

Founded in 2016 by twin brothers Frederic Petitpont and Phil Petitpont, Moments Lab began with a simple question: What if you could Google your video library? Today, it’s answering that — and more — with a platform that redefines how creative and editorial teams work with media. It has become the most awarded indexing AI in the video industry since 2023 and shows no signs of slowing down.

“When we first saw MXT in action, it felt like magic,” said Gökçe Ceylan, Principal at Oxx. “This is exactly the kind of product and team we look for — technically brilliant, customer-obsessed, and solving a real, growing need.”

With this new round of funding, Moments Lab is poised to lead a category that didn’t exist five years ago — agentic AI for video — and define the future of content discovery.

[freelancebrandscaling]

Freelance Brand Scaling Secrets: Empowering Brands to Dominate

Imagine a system designed not just for freelancers, but for brands—transforming ordinary companies into market powerhouses.

Freelance Brand Scaling is about more than generating ad copy or driving traffic; it’s about building an integrated brand growth engine that scales every facet of your business which is critical in today's world. Most "brand scaling" services out there focus on running Facebook ads. That’s child’s play. We take a full-stack approach—an elite-level, SEO-backed, AI-driven system designed to dominate your niche, multiply your ROAS, and create long-term sustainable growth.

We harness the precision of SEO, the art of funnel optimization, and the cutting-edge capability of AI to help your brand not only get noticed but become unforgettable. Think of it as a complete transformation toolkit that positions your brand as the leader in your market, turning every digital interaction into an opportunity for growth.

Our strategy is built on three core pillars:

SEO Mastery:

We engineer your online presence to rise above the noise. By optimizing your website and content with data-driven SEO techniques, we ensure that your brand consistently appears at the top of search results—attracting qualified, organic traffic that converts.

Funnel Optimization:

Every brand needs a roadmap to conversion. We create customized marketing funnels that seamlessly guide prospects through a journey—from initial awareness to final purchase. Whether it’s a compelling landing page, a series of nurturing emails, or an engaging video sales letter, each element is crafted to eliminate friction and maximize conversion rates.

AI-Powered Copy:

In a world where words make or break your brand, our AI-enhanced copy generation produces persuasive, tailor-made messaging that resonates with your audience. Using the best practices of legendary copywriters and the latest in artificial intelligence, we create copy that not only captures attention but drives real, measurable results.

This isn’t just about doing more—it’s about doing better. We help brands break free from the limitations of traditional marketing by combining timeless creative insights with modern digital strategies. The result? A dynamic, scalable brand that commands premium pricing, builds a loyal customer base, and dominates its market niche.

Step into a future where your brand isn’t just surviving—it’s thriving. Embrace a system that turns every click into a conversion, every interaction into an opportunity, and every campaign into a success story. With our Freelance Brand Scaling Secrets, you’re not just investing in marketing; you’re investing in a legacy of growth and excellence. Are you ready to empower your brand to dominate the marketplace? The future belongs to those who scale smarter!

[techactive]

Hire Top Talent Find the Best Remote Full Stack Developers

Struggling to build your Remote Full Stack Developers team? We can help! Find the perfect full-stack developers for your projects with our streamlined hiring process. Hire top talent, build your dream team, and focus on what matters most - growing your business.

[daisygrace9871]

Why Quytech Is Trusted by Enterprises to Hire AI Developers

In today’s digital world, Artificial Intelligence (AI) is changing the way businesses operate. From improving customer service with chatbots to automating business processes, AI is making a big impact. But to get the most out of AI, companies need skilled and experienced AI developers. That’s where Quytech comes in.

Quytech has become a trusted name among enterprises when it comes to hire AI developer services. With a strong portfolio, skilled talent, and client-first approach, enterprises choose Quytech to hire AI app developer, build smart solutions, and stay ahead in the competitive market.

1. Proven Track Record in AI Development

Quytech has over a decade of experience in software development and has successfully delivered many AI-powered projects across industries like healthcare, finance, eCommerce, real estate, logistics, and more. This track record builds confidence among enterprises looking to hire AI engineers with real-world experience.

Whether it's building predictive analytics solutions or creating virtual assistants, Quytech’s team has done it all. That’s why businesses globally hire dedicated AI developers from Quytech to build reliable and scalable AI solutions.

2. Access to Pre-Vetted and Skilled AI Talent

Finding and hiring skilled AI talent is a challenge for many enterprises. Quytech solves this problem by offering access to a pool of pre-vetted AI programmers. Each developer is tested for their technical, logical, and problem-solving abilities.

When you hire AI programmers from Quytech, you’re getting experts in machine learning, deep learning, NLP (Natural Language Processing), computer vision, data science, and more. Whether you're working on a smart chatbot or a complex recommendation system, Quytech has the right AI talent for your needs.

3. Flexible Hiring Models

Every business has different needs, and Quytech understands this. That’s why they offer flexible hiring models. You can hire remote AI developer on an hourly, part-time, or full-time basis. This helps enterprises scale their teams quickly without going through a lengthy hiring process.

Whether you're a startup building an AI-powered MVP or an enterprise expanding your digital capabilities, Quytech provides you the freedom to choose a hiring model that suits your budget and timeline.

4. Expertise in Multiple AI Technologies

AI is a vast field, and Quytech’s developers are skilled in using the latest tools and frameworks. Their expertise includes:

Machine Learning with Python, TensorFlow, and Scikit-learn

Natural Language Processing (NLP) using NLTK, spaCy, and GPT-based models

Computer Vision using OpenCV, PyTorch, and YOLO

Deep Learning with Keras and TensorFlow

AI Integration with mobile apps, IoT systems, and enterprise software

This wide range of expertise makes Quytech the go-to choice for companies that want to hire AI app developers in India who understand modern tech stacks and deliver results.

Read More:- Why Quytech Is the Best Partner to Hire AI Developers from India

5. Trusted by Global Enterprises

Quytech has worked with over 500 clients globally, including startups, SMEs, and Fortune 500 companies. Clients from the USA, UK, Europe, Middle East, and Asia choose to hire AI developer in India from Quytech because of their professional approach and timely delivery.

Their client retention rate is one of the highest in the industry, proving that Quytech is not just a vendor, but a reliable technology partner.

6. Transparent Communication and Project Management

Effective communication and transparency are important for project success. Quytech uses tools like Jira, Trello, Slack, and Zoom to keep clients updated throughout the development process.

When you hire AI app developer from Quytech, you also get a dedicated project manager who ensures everything runs smoothly. Regular updates, real-time collaboration, and milestone tracking help maintain clarity and build trust.

7. Cost-Effective AI Development Services

Hiring in-house AI developers can be expensive, especially in regions like the US or Europe. By choosing to hire Indian AI developers for hire, enterprises can significantly reduce costs without compromising on quality.

Quytech offers affordable rates, especially for businesses looking to hire remote AI developer or hire AI engineer in India. Their cost-effective hiring model is ideal for both short-term tasks and long-term AI product development.

8. Quick Team Setup and Onboarding

Time is money in the tech world. Quytech understands the urgency and helps enterprises onboard developers quickly. Once you share your requirements, their recruitment and tech team identifies suitable profiles and sets up interviews within 48-72 hours.

This speed and efficiency make Quytech the best destination to hire AI developers without wasting time on long hiring cycles.

9. Dedicated AI Teams for Enterprise Projects

For large-scale enterprise AI projects, Quytech offers dedicated AI teams. These teams include AI developers, data scientists, UI/UX designers, testers, and project managers who work together to bring your vision to life.

Enterprises that want full control over the development process prefer Quytech’s dedicated team model. It offers better productivity, accountability, and project alignment.

10. Excellent Post-Development Support

Building an AI solution is just the beginning. Maintaining it, updating it with new features, and ensuring it runs smoothly is equally important. Quytech provides post-development support and maintenance to keep your AI product up-to-date.

This ongoing support makes businesses come back to Quytech when they need to hire AI developers for new phases or upgrades.

Why Enterprises Prefer Indian AI Developers

Many enterprises worldwide are now looking to hire AI developers in India for the following reasons:

High Talent Pool: India has a large number of skilled developers in AI, ML, and Data Science.

Cost Advantage: Hiring Indian developers costs significantly less than hiring locally in the US, UK, or Europe.

English Proficiency: Most Indian developers are fluent in English, making communication easy.

Time Zone Benefits: Indian teams can work in multiple time zones, offering round-the-clock productivity.

If you're looking for reliable Indian AI developers for hire, Quytech offers the best combination of quality, cost, and communication.

Final Thoughts: Hire the Best AI Talent with Quytech

AI is shaping the future of digital transformation, and having the right team makes all the difference. Quytech’s client-centric approach, proven AI expertise, and flexible hiring models make it a top choice for businesses looking to hire AI developers.

From startups to global enterprises, companies trust Quytech to hire AI app developers in India who can turn complex ideas into working products.

So, if you’re planning to develop an AI-powered solution or expand your existing product, Quytech is your ideal technology partner. Whether you want to hire dedicated AI developers, hire AI programmers, or hire AI engineers, Quytech has everything you need under one roof.