Shouvik Sarkar

🚀 Honored to be recognized as a Community Champion 🏆 at the @codebasicshub Data Science with Generative AI Bootcamp! Grateful to the mentors and community for the support @dpcodebasics @hemvadivel Excited to keep learning, building, and contributing in AI & Data Science 🚀

@arsh_goyal Great @arsh_goyal

Microsoft invited me to attend Discovered @ Microsoft Tour in Cambridge, United Kindgom and flew me from India. This curated tour includes meeting leaders, attending panel discussions, seeing thrugh the cutting edge work Microsoft is doing in AI for Science, Responsible AI and Infrastructure. Super excited to be a part of this and excited to see that. Also, its my first time in the UK and I am super excited for this. Thanks to Microsoft for hosting me and giving me this opportunity. @Microsoft @MSFTResearch @MicrosoftUK More content to follow, stay tuned! #microsoft #ai #tech

@Ishansharma7390 great @Ishansharma7390

Going for my first Apple WWDC this year!🥹

@yavuzbakman @Google @googlecloud Congrats

Super excited to start my internship at Google in Seattle tomorrow! I’ll be doing research on agents this summer. Happy to connect with folks around! @Google @googlecloud

🚀 Learned Bubble Sort today 🫧 Compare → Swap → Optimize ⚡ Used swapped flag for better performance 📊 Applied it to real-world transaction data sorting Small optimization = smarter engineering 💡 #Python #DataStructures #LearnInPublic

@BillParcel007 @LinkedIn No

@sarkar75979 @LinkedIn Hello ! We are a growing software development agency based in the Philippines, and we are looking for reliable remote support partners in different countries to assist with local coordination, basic online tasks, and operational support. Are you interested

Check out my latest article: How Generative AI is Transforming the Data Science Industry linkedin.com/pulse/how-gene… via @LinkedIn

@julianeagu @databricks Great opportunity. Thanks for sharing

I'm building a new team at @databricks AI Research and we're hiring. We're focused on one of the hardest open problems in AI right now: how do you measure and continuously improve agents that operate on enterprise data at scale. We're looking for founding engineers to build the flywheel that turns evaluation results directly into better agents — from development and training all the way to production. If you want to work on problems that actually matter at the frontier of AI research, I'd love to talk. Link in comments 👇

@sahibmusharraf_ I agree this

I don’t just talk about communities, I work closely with them. If you want practical help, feel free to reach out.

@AndrewYNg Thanks for sharing sir

There will be no AI jobpocalypse. The story that AI will lead to massive unemployment is stoking unnecessary fear. AI — like any other technology — does affect jobs, but telling overblown stories of large-scale unemployment is irresponsible and damaging. Let’s put a stop to it. I’ve expressed skepticism about the jobpocalypse in previous posts. I’m glad to see that the popular press is now pushing back on this narrative. The image below features some recent headlines. Software engineering is the sector most affected by AI tools, as coding agents race ahead. Yet hiring of software engineers remains strong! So while there are examples of AI taking away jobs, the trends strongly suggest the net job creation is vastly greater than the job destruction — just like earlier waves of technology. Further, despite all the exciting progress in AI, the U.S. unemployment rate remains a healthy 4.3%. Why is the AI jobpocalypse narrative so popular? For one thing, frontier AI labs have a strong incentive to tell stories that make AI technology sound more powerful. At their most extreme, they promote science-fiction scenarios of AI “taking over” and causing human extinction. If a technology can replace many employees, surely that technology must be very valuable! Also, a lot of SaaS software companies charge around $100-$1000 per user/year. But if an AI company can replace an employee who makes $100,000 — or make them 50% more productive — then charging even $10,000 starts to look reasonable. By anchoring not to typical SaaS prices but to salaries of employees, AI companies can charge a lot more. Additionally, businesses have a strong incentive to talk about layoffs as if they were caused by AI. After all, talking about how they’re using AI to be far more productive with fewer staff makes them look smart. This is a better message than admitting they overhired during the pandemic when capital was abundant due to low interest rates and a massive government financial stimulus. To be clear, I recognize that AI is causing a lot of people’s work to change. This is hard. This is stressful. (And to some, it can be fun.) I empathize with everyone affected. At the same time, this is very different from predicting a collapse of the job market. Societies are capable of telling themselves stories for years that have little basis in reality and lead to poor society-wide decision making. For example, fears over nuclear plant safety led to under-investment in nuclear power. Fears of the “population bomb” in the 1960s led countries to implement harsh policies to reduce their populations. And worries about dietary fat led governments to promote unhealthy high-sugar diets for decades. Now that mainstream media is openly skeptical about the jobpocalypse, I hope these stories will start to lose their teeth (much like fears of AI-driven human extinction have). Contrary to the predictions of an AI jobpocalypse, I predict the opposite: There will be an AI jobapalooza! AI will lead to a lot more good AI engineering jobs, and I’m also optimistic about the future of the overall job market. What AI engineers do will be different from traditional software engineering, and many of these jobs will be in businesses other than traditional large employers of developers. In non-AI roles, too, the skills needed will change because of AI. That makes this a good time to encourage more people to become proficient in AI, and make sure they’re ready for the different but plentiful jobs of the future! [Original text in The Batch newsletter.]

@AndrewYNg @coursera @udemy Congratulations, sir.

I'm delighted that @coursera and @udemy have come together as one company to serve learners. Both Coursera and Udemy were founded with the belief that access to high-quality education changes lives. Over the years, both companies have advanced this goal, creating opportunities for individuals, organizations, and communities around the world. That role is even more important now, as AI is changing the nature of work and increasing the need for continuous learning. Helping people build job-relevant skills will be critical to how we create a better world. By combining the strengths of both ‌companies, we can better serve this need. We bring together a broader range of learning content, trusted instructors and educators, and engaging learning experiences. This creates new opportunities to make learning more personalized, more applied, and more accessible at scale. I’m excited to serve as Chairman of the combined company, working alongside Greg Hart and the leadership team. There is a strong foundation in both organizations, and I look forward to what the teams will build together to expand access opportunity globally. Learn more: blog.coursera.org/coursera-and-u…

I just published From Virtual Assistants to Autonomous Agents: My Thoughts on the Future with OpenClaw 🚀 medium.com/p/from-virtual…

🚀 Today I learnt graph DSA in Python as part of my DSA journey! Built a flight route graph ✈️, explored recursion for path traversal, and implemented shortest path finding Amazing to see how graphs power Google Maps social networks, and recommendation systems #Python #DSA

@LongLeRobot @GoogleDeepMind Congratulations

Personal news: I’m joining @GoogleDeepMind NYC this summer as a Student Researcher on the Robotics team! 4 years ago, I left Google to start my PhD. Now I get to come back and work on humanoid robot learning. Full loop closure, as the SLAM nerds would say. NYC folks—say hi!

@aaditsh juniper

The best companies to work at today: 1. Anthropic 2. OpenAI 3. Google DeepMind 4. SpaceX 5. xAI 6. NVIDIA 7. Tesla 8. Meta 9. Microsoft 10. ?

🌳 Learned Binary Search Trees today! Left < Root < Right → fast search (O(log n)) In-order traversal = sorted data 📊 Built a Python BST with search, min/max & sum 💻 #DataStructures #Python

Grateful to be recognized as a Consistent Performer in Gen AI & Data Science This journey is all about showing up daily, learning consistently, and improving step by step. Big thanks to the @codebasicshub Gen AI & DS Bootcamp #GenAI #DataScience #AI #Codebasics

@chandrarsrikant @debanganaghosh4 @shaw_reshab Thanks for sharing @chandrarsrikant

AI deflation could wipe $10 Billion off Indian IT revenues By @debanganaghosh4 and @shaw_reshab moneycontrol.com/artificial-int…

@alexabelonix @alexabelonix thanks

@sarkar75979 love the energy.

RAG ≠ just retrieve + generate. There are 10 RAG architectures (Agentic, Self-RAG, Adaptive, Hybrid, XAI…) If you're building with LLMs, this matters. 👉 @sarkarshouvik20/3c126defa062" target="_blank" rel="nofollow noopener">medium.com/@sarkarshouvik… #AI #LLM #GenAI