Kevin Huang
Machine Learning Engineer at Facebook
California, United States
Summary
👤
Senior🎓
Top SchoolKevin Huang is a Machine Learning Engineer and technical leader with 12 years of experience building high-throughput, low-latency ML and adtech systems for companies including Facebook, MZ, Yelp, NVIDIA, and Intel. He led design and scaling of an internal DSP that handled 600K ad requests/second and drove $110M/year spend, delivering millisecond P99 targeting, ranking, and pricing via large-scale ML pipelines. His background spans GPU and system software development to big-data ETL and production ML—giving him a rare blend of kernel-level performance optimization and product-facing machine learning. Based in California, he excels at turning research-grade models into operational systems that meet strict business SLAs. An understated strength is his end-to-end ownership across bidder, data pipeline, and model-training stacks, enabling measurable revenue impact.
12 years of coding experience
9 years of employment as a software developer
Master’s Degree, Computer Engineering, Master’s Degree, Computer Engineering at Arizona State UniversityBachelor's Degree, Electrical and Information Technology Engeneering, Bachelor's Degree, Electrical and Information Technology Engeneering at Sun Yat-Sen UniversityProgramming languages (1)
Github contributions (5)
RGLab/MIMOSA_shiny
Jun 2014 - Aug 2014
Contributions:27 commits in 1 month
kevopottamus/TennisPlayerTrackingQt
Mar 2014 - Jun 2014
Contributions:2 commits in 2 months
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