Building a Harness with Jev: A New Era for AI Decision-Making
Explore how Jev, a System One model from TypeSafe AI, revolutionises AI decision-making with faster inference and lower costs.
Tech blog · India · page 2
Deep dives into React.js, AI and ML integration, MERN stack patterns, and lessons from building production applications at scale in India — written by Deepak Kumar.
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Sponsored postsNewHave a dev or AI product? Sponsor a post on this blog.Starts at only ₹999 per postSee how it works →Explore how Jev, a System One model from TypeSafe AI, revolutionises AI decision-making with faster inference and lower costs.
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Join the All Things Agentic Hackathon to create autonomous AI agents using Google Cloud and Gemini. Win part of $180,000 in prizes.
How I built a Retrieval-Augmented Generation system at India Today Group for intelligent article search and content automation using LangChain, OpenAI, and MongoDB Atlas Vector Search.
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About the author
Deepak Kumar
Sr Software Engineer at India Today Group | Aaj Tak
Building scalable web applications and Generative AI systems. Writing about React, Node.js, AI and the engineering lessons from 9+ years of production work.
More about meOpen to senior full-stack and AI engineering roles, and to focused contract work. Delhi NCR or fully remote. I reply within 24 hours.
What I take on
Full-stack product build
React, Next.js, Node, NestJS, MongoDB and MySQL — from idea to production.
AI features that ship
OpenAI and LangChain, RAG, semantic search, content and voice automation.
Architecture and scale
Microservices, real-time pipelines and caching — proven at national news scale.
Founding engineer work
Idea to MVP to scale, with SEO and analytics built in from the start.