Backend Developer
CS student at Western University who loves building things that's related to AI. Most of my time goes into backend systems, data pipelines, and figuring out practical ways to use LLMs.
Python | SQL | FastAPI | Redis | Docker | Git/Github
- Building backend systems and APIs with FastAPI and Supabase
- Exploring practical applications of AI/ML — prompt engineering, embeddings, and structured extraction
- Always looking for interesting problems to solve with code
An agentic RAG pipeline that indexes YouTube transcripts and lets you search across all of them with natural language. Ask any question, get structured answers with clickable timestamp links that jump to the exact moment.
Event-driven data processing pipeline for classification and structured extraction. Processes 12,000+ items/hour using Redis Streams with a 5-phase architecture (ingest → normalize → match → classify → persist). Uses Voyage embeddings for semantic matching and Claude for intelligent extraction.
Hackathon project that matches developers to open-source repositories and surfaces issues by analyzing code context. Features an AI agent loop that inspects files and reasons about root causes, with automated forking and PR-ready workflow
