Summary
Ricky Kwok is a Senior Machine Learning Engineer in San Francisco with 11 years of experience applying rigorous mathematics to real-world product problems. He combines a PhD-level background in applied mathematics with hands-on engineering—designing anomaly detection systems at Cisco Meraki and building large-scale Spark/Scala ML pipelines at Spotify. Skilled in exploratory data analysis, feature engineering, A/B testing, and writing production math libraries and unit tests, he translates theoretical models into reliable, production-grade systems. Ricky has taught and mentored across academia and industry, from graduate research in stochastic processes to running internal ML conferences and interviewing candidates to scale teams. He is particularly strong at identifying high-impact signals in noisy user data and closing the loop between research, engineering, and stakeholder needs. An analytical thinker who proves ideas numerically, he brings both deep theory (Bayesian stats, linear algebra) and practical delivery experience to complex ML problems.
11 years of coding experience
9 years of employment as a software developer
B.S., Physics, B.S., Physics at University of California, Davis
Mathematics, Physics, Mathematics, Physics at UC Santa Cruz
Chinese, English