- 🧠 AI & Search Engines: Engineering RAG architectures, hybrid BM25 + vector retrieval, and LLM reasoning (
search_engine). - 🧩 Chrome Extensions (MV3): Crafting high-performance browser extensions using local WebAssembly Stockfish engines and Google Gemini (
Chess Analyst&Coursera Solver). - 🛡️ Cybersecurity & ML: Training intrusion classification models (DoS, Probe, R2L, U2R) with Scikit-learn and Flask (
cybersecurity-threat-ai).
| Project | Highlights | Tech Stack |
|---|---|---|
| 🔍 AI-Native Search Engine | Hybrid BM25 & semantic vector retrieval with RAG citation verification | Python FastAPI RAG Vectors |
| ♟️ Chess Position Analyst | Real-time Chess.com analysis via local WASM Stockfish engine & Gemini AI | Chrome MV3 WASM Stockfish Gemini |
| 🎓 Coursera Assignment Solver | Automated lecture progress, quiz extraction & AI assessment solving | JavaScript MV3 Gemini AI |
| 🛡️ Cybersecurity Threat AI | Network intrusion detection for DoS, Probe, and unauthorized access | Scikit-Learn Flask ML Security |
