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Looking for GenAI internship/full-time roles! At Zomato, I built GPT-4o ticket systems, LLM eval pipelines & OCR tools (cut ops time 85%). For fun personal projects, Fine-tuned Mistral 7B for persona chat, built ANPR & haptic gloves too Skilled in P

The “Entry-Level” AI Engineer Job Description of 2025 🚨 HR today: > “We’re looking for someone who knows Python, OOP, NumPy, Pandas, SQL, Advanced Excel, Power BI, ALL ML/DL models, every AWS service, LangChain, Docker, Kubernetes, LLM fine-tuning

2 frameworks powering next generation of AI apps. Here’s how LangGraph and LangChain make it happen. 𝗟𝗔𝗡𝗚𝗚𝗥𝗔𝗣𝗛 (𝘀𝘁𝗲𝗽-𝗯𝘆-𝘀𝘁𝗲𝗽) LangGraph is a graph-driven framework for building dynamic, multi-agent AI workflows. 1. 𝗗𝗲𝗳𝗶𝗻𝗲

Walkin Drive in Hexaware for AI Engineer and Lead Data Scientist (GenAI)-Pune Location-12th July 2025(Saturday) Interested candidates share your CV at umaparvathyc@hexaware.com Open Positions: AI Engineer/Lead Data Scientist (GenAI) AI Engineer

Adaptive Plugin: The next efficiency layer for Enterprise GenAI LLM workloads are exploding across finance, healthcare, SaaS, telecom, and government. The hidden drain is token waste from oversized prompts, long documents, and heavy chat histories.

Hey friends, I’ve been building something close to my heart — a *portfolio project* that reimagines how AI can work as your startup team. Introducing *AgentFlow* — a *virtual office of autonomous AI agents* that think, plan, and collaborate like a le

If AI’s rapid pace feels overwhelming, trust me-everyone feels it. New models, new papers, new frameworks… it’s impossible to keep up with everything. And the good news is-you don’t have to. What actually helps is a clear path, not more noise. So I

🚨 API vs MCP: APIs are great. But MCP? Let's deep dive (<1min) 💡 So what’s the difference? Isn’t MCP just another API in disguise? Not quite. They look similar at first glance — but under the hood, MCP is purpose-built for modern AI and agenti

🚀 How to Save 90% on Your AI Costs Here’s exactly how we cut AI costs from $500/month to $5/month: 1. Avoid LLMs When Possible Use rules, regex, or database lookups for simple tasks (60–80% of workflows). Example: A lead qualification bot using rege

The complete AI, ML & GenAI roadmap. I've given a stepwise breakdown to master them. 𝗦𝘁𝗲𝗽 1 – 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻 (1.5–2 𝗺𝗼𝗻𝘁𝗵𝘀) • Build core skills: Python, math, data handling, Git. • Learn 𝗡𝘂𝗺𝗣𝘆, 𝗣𝗮𝗻𝗱𝗮𝘀, 𝗠𝗮𝘁𝗽𝗹𝗼𝘁𝗹𝗶�