Singapore Startup (Ex-CTO)

Challenge: Scalability and cold-start issues in recommendation engines were limiting user growth and investor confidence.

Solution: Led a team of 7 as CTO to design and ship high-performance recommendation engines using Deep Learning (LightGCN) and ALS methods.

Impact: Secured $20M in Series A funding and improved recommendation accuracy by 35%, enabling the platform to scale.