I learn by building projects.
Production-grade Model-Based Reinforcement Learning system with learned world models (VAE + RSSM) and planning (MCTS, CEM) for sample-efficient decision making in continuous control environments.
Translates sign language gestures captured via flex sensors into speech in real time — achieving 25ms inference latency and 120ms end-to-end response.
Retrieval-Augmented Generation (RAG) system to answer questions from patient reviews. This repository contains a Jupyter notebook that demonstrates how to build a RAG-based chatbot for answering questions based on patient reviews.
Production-grade customer churn prediction and segmentation platform built with XGBoost, SHAP, MLflow, FastAPI, and Docker.
Backend API most of my projects use, built with FastAPI and PostgreSQL.
Frontend of Backend project (which was built using FastAPI) using Next.js
A productivity app that helps you manage tasks efficiently with time tracking, prioritization with daily motivational quotes and background syncing to cloud.
A VS Code extension to automate `npm run dev` and browser launch for Next.js projects
Generate, verify, and share certificates, made with Next.js and MongoDB.
Visualize your life in weeks and make every moment count!