I build AI systems thatdon’t just predict — theydecide, act, and remember.

I ship end-to-end products across the full stack — from model logic to deployed infrastructure.

Most systems I care about don’t return a prediction and forget it — they hold state, reason about a decision, act on it, and still remember why three sessions later. That constraint shapes how I architect everything, from a trading agent’s memory layer to a chess platform’s move pipeline. The other half of the job is making that reasoning legible: an agent that can’t narrate its thesis doesn’t get trusted with capital, and a model that can’t explain itself doesn’t get trusted in a clinic.

Languages

Python · Go · TypeScript · JavaScript · C · Java · SQL

AI / ML

LangGraph · LangChain · TensorFlow · Transfer Learning · CNNs · Explainable AI (Grad-CAM, LIME) · RAG · Embeddings · Claude/OpenAI API

Backend

FastAPI · Flask · Node.js · Express · Socket.io · REST · WebSockets · SQLAlchemy · Pydantic · APScheduler

Frontend / Data

Next.js 14 · React · Tailwind CSS · PostgreSQL · Supabase · Redis · pandas · pandas-ta

Infrastructure

Docker · docker-compose · GitHub Actions · Vercel · Railway · Render · GoReleaser

Every repo I own, in one catalog — weighted by what it proves. Open any card for the detail behind it.

14 projects · 5 full case studies

> every figure below resolves to a source you can open. no screenshots, no badges.

Let’s build something that remembers.

open to full-time roles & internships

X

x.com/RChidhanand

LinkedIn

linkedin.com/in/chidanandh-r

WhatsApp

+91 99004 77723