AI researcher and builder. Currently exploring theoretical foundations and practical applications.

Working on AI research and building products. Interested in the intersection of machine learning systems and real-world applications.

Insurance Risk Prediction System
Advanced ML system using neural networks, ensemble methods, and Bayesian optimization. → Notebook

NASA Space Apps Challenge
Built during hackathon.
→ Live Demo

Currently building stealth projects.

Languages: Python, JavaScript/TypeScript, C++, Solidity
ML/Data: PyTorch, scikit-learn, NumPy, Pandas
Web: React, Next.js, Node.js, TailwindCSS, Shadcn UI Infrastructure: AWS, Supabase, Vercel, HuggingFace

Deep diving into theoretical AI foundations and applied ML frameworks.