About

Full-Stack Developer exploring the intersection of AI, LLMs, and product engineering.

Mukesh Yadav at work

Background

I'm a Full Stack Developer deeply interested in AI and Large Language Models. I build SaaS products that leverage LLMs, RAG pipelines, and intelligent automation to solve real problems.

My work spans the full stack - from designing React frontends to building Python backends that integrate with OpenAI, Claude, and open-source models. I'm particularly drawn to the challenge of making AI accessible and useful in production applications.

I believe the best AI products come from understanding both the technology and the user. Every system I build prioritizes practical value over hype.

Skills

AI & ML: LLM Integration, RAG Pipelines, Prompt Engineering, Fine-tuning, LangChain, Vector Databases, AI Agents

Development: React, Next.js, Node.js, Python, TypeScript, Astro, PostgreSQL, Redis

Infrastructure: AWS, Cloudflare, Docker, CI/CD, Vercel, Monitoring & Observability

What I'm Building

Currently focused on AI-powered SaaS products - from intelligent search systems using vector databases to autonomous AI agents that handle complex workflows. I also write about AI, LLMs, and the practical side of building with these technologies.

I'm always exploring what's next in AI - whether it's multimodal models, agent frameworks, or new ways to make LLMs more reliable and useful in production.