🧑🏻💻 CS + EE @ Columbia University
A personal project to make NYC housing search less chaotic: ingest listings from multiple sources, normalize them into one schema, dedupe into canonical units, and keep them fresh with update detection.
Stack: Next.js, TypeScript, Postgres/Prisma, workers, scraping + change tracking
🔗 Repo: https://github.com/yikesaxe/Hunter
Real-time browser extension to anonymize sensitive data before it reaches AI models (ChatGPT, Claude, Siri, etc.).
Protects: Names, Emails, Phone Numbers, SSNs, Credit Cards, Addresses
Approach: Presidio + custom fake data mapping + low-latency rewriting
- Building agentic workflows that are reliable end-to-end
- Information extraction + normalization (scraping → canonical datasets)
- Privacy engineering for consumer AI
- Performance + latency (making systems feel instant)
- 🧗♂️ I compete in Columbia's Rock Climbing Team
- 🎲 I'm a member of Columbia Poker Club, ColorStack, SHPE, CORE
- 🌎 I love building real-world solutions with tech!
- 🎶 Currently learning: Operating Systems, Computer Networks & Trading Algos
If you're interested in connecting further, feel free to reach out to me:
📫 liviasaxel309@gmail.com
🔗 LinkedIn
✨ Built with ❤️ by Axel ✨