Things I've built and learned from along the way.
Won 1st place ($10K) at Breaking Barriers Hackathon sponsored by AWS, NVIDIA, and Anthropic, competing against 40+ teams. Built a personalized learning platform using Claude Haiku to generate tailored content in 4+ formats: narratives, summaries, diagrams, and interactive games.
Trained Andrej Karpathy's NanoChat model(d20) using L40 GPUs on NVIDIA Brev which took 12 hours. Downloaded trained model weights and biases to local PC with RTX 3060ti GPU for experimentation and optimization. Exploring meaningful architectural changes and fine-tuning strategies.
Building a custom coding agent inspired by Claude Code and Q CLI to avoid subscription costs. Leveraging free LLM inference APIs like NVIDIA NIM for intelligent code generation and assistance. Early-stage development focused on core agent architecture and API integration.
Interactive resume analyzer providing targeted feedback. Trained a Logistic Regression model on 2,400+ resumes. Built an NLP pipeline with NLTK and LanguageTool to calculate grammar scores and assess resume metrics.
A full-stack recipe search application that lets users discover recipes by ingredients or dish name using the Edamam Recipe API. Features detailed recipe information, ingredient lists, and a responsive design for seamless browsing across devices.
A Chrome extension that generates concise summaries of YouTube video transcripts. Leverages the YouTube Transcript API for extraction and Hugging Face Transformers for advanced text summarization, with a Flask backend processing requests seamlessly.