Elisha Yadgaran

Distinguished Machine Learning Engineer at Palo Alto Networks

San Francisco Bay Area United States
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Summary

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Senior
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Elisha Yadgaran is a Distinguished Machine Learning Engineer in the San Francisco Bay Area with eight years of experience building ML platforms, teams, and products that serve as the backbone for business-critical systems. He specializes in partnering with executives and founders to translate high-level goals into rapid POCs and production-ready capabilities, having owned full product lifecycles across startups and enterprise acquisitions. Elisha has delivered and deployed hundreds of machine learning models, led data science teams, and architected platforms whose impact contributed to acquisitions, successful earnouts, and tens of millions in savings. He prefers pragmatic, problem-first ML—eschewing “magic” algorithms in favor of the simplest solution that achieves measurable value. As both an independent contributor and a technical leader, he thrives in small, focused teams that move quickly from prototype to production. Outside of work he publishes public code on GitHub, signaling a commitment to reproducible, hands-on engineering.
code8 years of coding experience
job13 years of employment as a software developer
bookBachelor of Science (BS), Bachelor of Science (BS) at Massachusetts Institute of Technology
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Stackoverflow

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Github Skills (69)

repr10
optuna10
screen-scraping10
eager9
eager-loading9
orm-extension9
marshmallow9
deploying9
api8
ray8
optimization8
python8
parallel8
watson8
sqlalchemy8

Programming languages (3)

GoJupyter NotebookPython

Github contributions (5)

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eyadgaran/mintapi

May 2022 - Oct 2023

an unofficial screen-scraping "API" for Mint.com
Contributions:3 PRs, 30 pushes, 5 branches in 1 year 4 months
apipythonmintscreen-scrapingscraping
eyadgaran/SimpleML

Jan 2018 - Aug 2022

Machine learning that just works, for effortless production applications
Contributions:22 releases, 7 reviews, 374 commits in 4 years 8 months
pythondata-sciencemachinelearningmlmachine-learning
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