Eshaan Pathak
Senior AI Engineer at You.com
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolEshaan Pathak is a Senior AI Engineer based in San Francisco with six years of experience building production ML systems and tooling, currently advancing AI products at You.com. His background bridges academic research at Berkeley AI Research and hands-on engineering, giving him fluency in both experimental methods and production-grade testing. He has contributed to high-profile open-source projects like allenai/natural-instructions by improving test automation and data integrity checks, underscoring a focus on reliable datasets and reproducible evaluation. Comfortable working remotely, he’s progressed from undergraduate researcher to senior engineer roles, shipping features and infrastructure that scale. Known for a pragmatic obsession with correctness, he pairs a strong data-science foundation from UC Berkeley with practical QA and automation skills that reduce model deployment risk.
6 years of coding experience
6 years of employment as a software developer
Bachelor's Degree Computer Science Data Science, Bachelor's Degree Computer Science Data Science at University of California, BerkeleyHigh School Diploma, High School Diploma at Torrey Pines High SchoolCalculus, Calculus at San Diego State University
English, Hindi, Spanish
Stackoverflow
1reputation
0reached
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Github Skills (8)
data-validation10
python10
test-automation10
testing10
repos9
git-repository9
natural-language-processing5
nlp5
Programming languages (2)
Github contributions (5)
allenai/natural-instructions
Aug 2021 - Sep 2021
Expanding natural instructions
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:10 reviews, 59 commits, 10 PRs in 1 month
Contributions summary:Eshaan primarily focused on enhancing the testing framework for the natural instructions repository. Their commits demonstrate efforts to refine the `test_all.py` script, adding checks for file naming conventions, repeated examples, and output validity within the task files. They also incorporated changes related to the task readme documentation and improvements to the test suite, ensuring data integrity and adherence to project guidelines.
instructionsexpandingnatural
eshaanpathak/natural-instructions-code
Aug 2021 - Sep 2021
Contributions:10 pushes, 1 branch in 24 days
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