Search and filter database-backed projects by category, tag, impact, recency, and recruiter-relevant priority.
GenAI
An AI knowledge/reasoning system focused on intelligent information retrieval, memory, and assistant-like workflows.
Explores how AI systems can retrieve, organize, and reason over information in assistant-like workflows.
Full-stack
A full-stack Next.js game with PostgreSQL-backed questions, voting, mode selection, Prisma migrations, seed/import tooling, and database-level duplicate prevention.
Provides an engaging question-based voting game with persistent data and scalable question management.
Retrieval
End-to-end local retrieval pipeline with BM25, FAISS dense search, hybrid ranking, a custom scikit-learn feature reranker, evaluation metrics, CLI tooling, and Streamlit demo.
Improves document retrieval quality by combining sparse search, dense search, and learned reranking.
ML Infrastructure
A lightweight educational vector database built from scratch in Python, featuring dense vector storage, metadata filtering, exact similarity search, graph-based approximate search, and JSON persistence.
Shows how vector databases work internally, including indexing, metadata filtering, and approximate search.
NLP
Fine-tuning domain-adaptive Sentence-BERT embedding models for semantic search, retrieval, product search, support ticket matching, and job/CV matching.
Improves matching and retrieval quality by fine-tuning embeddings for specific domains and similarity tasks.
NLP
Advanced tokenizer engineering project implementing BPE, byte-level BPE, WordPiece, and SentencePiece-style unigram tokenization, with benchmarking against Hugging Face tokenizers and API/demo tooling.
Explains and implements the core tokenization algorithms behind modern language models.
AI Tools
A TypeScript AI-powered tool for converting PDF documents into clean Markdown for downstream documentation, knowledge-base, or RAG workflows.
Makes PDFs easier to use in documentation systems, knowledge bases, and RAG pipelines.