Hemit Shah

Software Engineer at Snowflake

Bellevue, Washington, United States
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Summary

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Senior
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Top School
Hemit Shah is a software engineer and Machine Learning MS student at Carnegie Mellon with eight years of experience building data-driven systems and deploying ML models across companies like Snowflake, Wish, CIBC, and Natural Resources Canada. He combines practical software engineering—shipping C-accelerated Python modules and async SQL execution features—with applied ML work such as graph-based product embeddings, NLP clustering, and satellite-imagery pipelines. His internships spanned the full ML lifecycle from feature engineering and scalable Airflow/Spark pipelines to production connector improvements, reflecting a comfort with both researchy prototyping and production-grade performance optimizations. Based in Bellevue, WA, he’s particularly interested in the systems and distributed engineering challenges behind training and serving foundation models, and has repeatedly reduced latency and compute through algorithmic and engineering trade-offs.
code8 years of coding experience
job2 years of employment as a software developer
bookMaster of Science - MS, Machine Learning, Master of Science - MS, Machine Learning at Carnegie Mellon University
bookBachelor of Software Engineering (BSE), Software Engineering, Bachelor of Software Engineering (BSE), Software Engineering at University of Waterloo
languagesEnglish, Gujarati
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Github Skills (6)

equalizer9
audio8
parametric7
recipe3
catalog2
spring2

Programming languages (4)

TypeScriptJavaScriptJupyter NotebookPython

Github contributions (5)

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h39s/ALR_Earth_Engine

Mar 2020 - Dec 2022

Contributions:12 pushes in 2 years 9 months
Contributions:3 PRs, 46 pushes, 2 branches in 1 month
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Hemit Shah - Software Engineer at Snowflake