Thomas Huang is a Senior Software Engineer specializing in machine learning infrastructure with a decade of experience building production ML systems, currently based in San Jose and advancing ML platform work at LinkedIn. He combines a strong computer science foundation from Purdue and an AI graduate certificate from Stanford with hands-on roles across startups and enterprise environments, from ML research at Alectio to anti-fraud analysis early in his career. Thomas focuses on making ML models reliable and scalable in production, bringing practical MLOps expertise gained over multiple promotions within LinkedIn. Notably, his background spans both research-driven model work and robust engineering practice, enabling him to bridge data science and platform engineering effectively.
10 years of coding experience
3 years of employment as a software developer
Leland High School
Bachelor of Science (B.S.) Computer Science Minor in Mathematics, Bachelor of Science (B.S.) Computer Science Minor in Mathematics at Purdue University
Graduate Certificate Artificial Intelligence, Graduate Certificate Artificial Intelligence at Stanford University
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
Contributions:19 pushes, 2 branches in 5 months
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