Dharmendra
S. Yadav.
AI Full-Stack Engineer in Bengaluru, India. 5+ years shipping production-grade products end-to-end — and now going deep on AI Engineering: LLMs, RAG, agents, vector DBs on a solid full-stack base.
for work
Engineer who likes shipping things that work.
I started writing software because I liked the idea that a single person could take an abstract problem and ship a working product. Five years in, that's still the part I love most.
Most of my work has been end-to-end — I take ownership of the architecture, build the frontend and backend, set up the infrastructure, and stay on the system after launch. No hand-off, no "that's someone else's job."
I move quickly, but I obsess over fundamentals — clean architecture, reliable infrastructure, and code the next engineer can read without a tour. That's the kind of work I'm looking to do next, with a strong pull toward AI engineering: LLMs, RAG, agents, and the systems that put them in front of real users.
What I'm going deep on right now.
AI Engineering
LLMs · RAG · Agents · Vector DBs
Building LLM-powered products with OpenAI, Claude, Gemini and LangChain. RAG pipelines, agentic workflows, vector-DB retrieval — in production, with evals.
Full-Stack SaaS
React · Next.js · Node · MongoDB
Multi-tenant systems end-to-end — architecture, frontend, backend, billing, admin, observability. The foundation I use to ship AI work as real products.
Mobile Engineering
React Native · iOS · Android
Cross-platform mobile apps shipped to stores and used by real customers. Often wired into the same backend as the web product.
How I work — four things I won't compromise on.
Ship to real users
Production is the only finish line that counts. Demos don't ship.
Own it end-to-end
Architecture, build, deploy, on-call. No hand-offs, no lost context.
Fundamentals first
Clean code, reliable infra, fast feedback loops. Shortcuts compound badly.
Bias to clarity
Simple architecture scales better. Simple UX wins users. Cut complexity early.
The road so far.
2020 → 2025
Started Shipping Code
First commits to first production deploys. React, Node.js, and the basics that still matter.
First End-to-End SaaS
Owned a SaaS platform from architecture to production — frontend, backend, infra, and the on-call after.
Mobile + Web in Parallel
Added React Native. Shipped cross-platform apps used by real customers in stores.
AI-First Focus
Started integrating OpenAI, Claude and LangChain. RAG pipelines and agentic flows landed in production.
Going Deeper on AI
Pivoting full-time into AI Engineering — LLMs, RAG, agents, vector DBs — on a solid full-stack base.
Hiring senior engineering talent?
Let's talk.
Available for serious engineering work. Drop a note — I read every message and reply within 24 hours.