
Built a full-stack real estate platform end-to-end supporting property listings, user authentication, and real-time updates.

Built a full-stack kanban app with drag-and-drop boards, a relational PostgreSQL schema, and optimistic UI updates in Next.js.

Implemented a mini GPT-2 from first principles (attention, tokenization, training loop) to develop working knowledge of transformer internals without framework abstractions.

Built a real-time face-detection and emotion-classification pipeline on webcam input, tuned for real-time frame rates.

Built a predictive model to determine the likelihood of an NBA player being inducted into the Hall of Fame based on career statistics scraped from basketball-reference.com.

Built a content-based movie recommendation system using scikit-learn and Pandas.

Built a collaborative-filtering based book recommendation system using scikit-learn and Pandas.

Implemented various AI algorithms including search, constraint satisfaction, and reinforcement learning as part of the Harvard CS50 AI course.

Implemented a simplified version of Git from scratch in Python, supporting basic commands like init, add, commit, and log.

Built a chatbot that can answer questions from a PDF document using LangChain and OpenAI's GPT-3.5-turbo model.

Built a simple quiz application using React and JavaScript, allowing users to take quizzes and view their scores.

A collection of small Python scripts and tools that I have built for various purposes,and utility functions.

A collection of data structures and algorithms implementations in C++.