Michael Loh
ML Research Hedra
Berkeley, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMichael Loh is an ML research and engineering leader based in Berkeley with nine years of experience building production-grade machine learning systems and the infrastructure that scales them. He has repeatedly accelerated teams and product impact—shipping Plaid’s first automated training pipelines, inventing an ML-driven storage migration at Dropbox that saved millions, and leading platform unification and reliability tooling that multiplied experimentation velocity and ARR. Equally at home in low-level optimization and high-level platform design, he blends Spark expertise, distributed training, and deployment automation to turn complex ML research into reliable services. Known for inventing practical DSLs and tooling (e.g., AirQuilt) to simplify distributed workloads, he’s driven measurable business outcomes while mentoring and growing teams.
9 years of coding experience
24 years of employment as a software developer
M.S Physics, M.S Physics at University of ChicagoUniversity of California, Los Angeles
Github Skills (19)
dsl9
strongly-typed9
feature-engineering9
salesforce9
einstein9
structured-data9
automated-machine-learning8
machine-learning-workflow8
scala8
automl8
spark8
transformers7
machine-learning7
ai7
scheduling6
Programming languages (3)
Github contributions (5)
mrunfeldt/TensorflowSentiment
Mar 2017 - Mar 2017
Contributions:4 pushes in 4 days
nlpsentiment-analysistensorflowsentiment
relateiq/azkaban
Aug 2017 - Sep 2017
Azkaban workflow manager.
Contributions:6 PRs, 4 pushes, 7 branches in 1 month
azkaban
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