I build systems that turn messy data into usable products.
A product intelligence system that ingests, normalizes, and compares supermarket data across retailers.
- End-to-end pipeline: crawl → normalize → canonicalize → derive → project → API
- Handles messy real-world data (pricing, units, product identity)
- Powers search, deals, and “where to buy” experiences
Live: https://scoopgr.netlify.app
- Frontend architecture at scale (React / TypeScript)
- Data pipelines and normalization systems
- Search, pricing, and product intelligence
I write about real-world engineering problems: 👉 https://yannisspyrou.com