Singapore Startup (Ex-CTO)
**Challenge**: Scalability and cold-start issues in recommendation engines were hindering user growth and Series A valuation. **Solution**: Led a team of 7 as CTO to build high-performance recommendation engines using Deep Learning (LightGCN) and ALS. **Value**: Secured $20M Series A funding and improved recommendation accuracy by 35%.
Stack
PythonNodeReactPostgresDockerAWS
