Ming Gu is a Senior Software Engineer with 10 years of experience building large-scale backend systems for ML and distributed compute, currently driving Azure Machine Learning Pipeline and PromptFlow services at Microsoft from Mountain View. He designs production-grade orchestration, compute interfaces, and caching—work that cut customer cache misses by 90% and helped PromptFlow account for two-thirds of its token consumption through his cloud batch execution. Previously he built parallel computing infrastructure that increased service core hours by 50% and developed practical algorithms for bike location and fraud detection that dramatically reduced losses. Equally comfortable with algorithmic modeling and cloud engineering, Ming blends deep systems thinking with measurable product impact and a quiet obsession for preventing broken builds. He holds bachelor’s and master’s degrees from Tsinghua University and favors pragmatic solutions that scale across thousands of enterprise customers.
Contributions:4 reviews, 4 PRs, 872 pushes in 1 year 8 months
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