Summary
Jia Feng is a Senior Software Engineer based in San Francisco with 10 years of experience designing and shipping high-throughput, low-latency backend systems for real-time prediction, recommendation, and ad tech. Currently at Google after leading data-driven engineering at Caffeine and Tapjoy, Jia has built production recommendation, notification, tagging, and TensorFlow Serving platforms that handled hundreds of thousands of requests per minute with millisecond-level latencies. Skilled as both a hands-on implementer and a technical lead, Jia pairs ML model serving and LTR/NLP pipelines with robust engineering—often owning systems end-to-end from A/B testing to pacing and frequency control. Comfortable across Java, Go, and serving infrastructure, Jia is also a mentor who has coached junior engineers through cross-functional delivery. A fun, self-effacing GitHub bio (“什么都不懂的小透明”) hints at a humble curiosity that underpins a practical mastery of real-time systems.
10 years of coding experience