Frank Chen
Principal Software Engineer at Cerebras
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolFrank Chen is a Principal Software Engineer with 10 years of experience designing and operating high-scale, secure systems for both startups and hyperscale cloud providers. He has repeatedly built mission-critical infrastructure from the ground up—leading platform architecture at Uplimit to support hundreds of thousands of users and driving Cloud TPU architecture and performance work at Google to broaden ML framework support. At Coursera he owned core high-availability services that processed thousands of requests per second during hypergrowth, and he codifies SRE and security practices into operational lifecycles. Frank blends deep systems engineering with applied machine learning interest, having worked across distributed batch systems, hardware-accelerated ML stacks, and security vulnerability lifecycles. Based in San Jose, he pairs technical leadership and mentorship with a product-minded approach to revenue-critical systems and enterprise integrations. A lesser-known thread in his background is early large-scale education platform work at Stanford that scaled to hundreds of thousands of learners and informed his focus on reliable, data-driven systems.
10 years of coding experience
15 years of employment as a software developer
Hwa Chong InstitutionMaster of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at Stanford University
English, Chinese
Github Skills (43)
apache-spark10
spark10
python10
data-science10
r10
machine-learning10
big-data10
tflearn10
hadoop10
apache10
jdbc10
analytics10
java10
large-scale10
ml10
Programming languages (5)
Github contributions (5)
frankfqchen/Deep-Learning-for-OCR
Aug 2018 - Sep 2018
This is a reading list for deep learning for OCR
Contributions:57 commits, 49 pushes in 5 days
deep-learningocr
frankfqchen/spark
Sep 2016 - Sep 2019
Mirror of Apache Spark
Contributions:2 pushes in 2 years 11 months
spark-mlapachebig-datasparkscala
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