A showcase of my personal and technical projects, ranging from reinforcement learning research to full-stack AI applications.
End-to-end CNN (NVIDIA architecture) that predicts steering from front-camera images to autonomously drive the Udacity simulator. Includes balanced/augmented data pipeline, real-time inference via Flask + Socket.IO, and reproducible training.
An AI-powered chatbot that uses Retrieval-Augmented Generation (RAG) with Astra DB, LangChain, and Hugging Face’s Llama-3.1-8B-Instruct to help users understand medical bills with clear, context-aware responses.
A full MLOps pipeline and Chrome extension for real-time sentiment analysis on YouTube comments, using Flask, MLflow, Docker, and AWS.
An advanced autonomous research agent that uses LLMs and web crawling to analyze and compare developer tools. Built with LangGraph, LangChain, and Firecrawl for scalable, multi-step analysis workflows.
A clean, ATS-friendly, and modern LaTeX resume template built for students and developers applying to technical roles. Features minimalist design, modular macros, and PDF outputs optimized for readability and machine parsing.
A full-stack web application that automates attendance tracking using facial recognition. Built with FastAPI, React, and SQLite, it supports real-time webcam input and batch image uploads for seamless attendance logging.
An interactive full-stack web application that generates multiple-choice coding challenges using Meta-Llama-3-8B-Instruct. Designed for interview practice, daily challenge tracking, and progress feedback with real-time explanations.
A robust, modular, and extensible reimplementation of the DDPG reinforcement learning algorithm (Lillicrap et al., 2015) using TensorFlow 2.x. Built for reproducibility, research comparison, and interactive experimentation with Gym environments.