Summary
Raviphol Sukhajoti is a Staff Software Engineer in the San Francisco Bay Area with 13 years of experience building high-scale systems across ML infrastructure, applied ML, HFT platforms, financial fraud detection, and Knowledge Graphs. He has led Ads quality and fraud-risk ML efforts at Google that protect billions in revenue and recently joined Google again to steer AdSpam ML initiatives. At Tecton he helped scale engineering from a compact startup to meet enterprise feature store demands, delivering critical systems like secret management, data observability, and cluster validation. His background spans both startup and FAANG environments, combining hands-on full-stack implementation with technical leadership and customer-driven delivery. Unusually, he pairs this technical career with wine consultancy at WSET Level 3, reflecting a disciplined palate and a knack for translating complex domains into practical guidance. Trained at UIUC (MS CS) and experienced in low-latency trading systems from Jump Trading, he excels at turning research-grade ML into robust production services.
13 years of coding experience
11 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at University of Illinois Urbana-Champaign
B.E. Computer Engineering, B.E. Computer Engineering at Chulalongkorn University
Kasetsart University Laboratory School
English, Thai