Parth Asawa

Graduate Student Researcher

United States
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Summary

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Rockstar
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Top School
Parth Asawa is a CS PhD student and graduate student researcher at Berkeley with six years of industry experience building applied ML and data systems. He has interned across Alexa NLU, model stress-testing at Robust Intelligence, data governance at Databricks, and agent work at Rox, demonstrating a strong bridge between research and production engineering. Parth’s background in UC Berkeley’s M.E.T. program (EECS + Business, 4.0 GPA) gives him a rare combination of technical depth and product-minded thinking. He focuses on trustworthy ML, tooling, and developer-facing infrastructure, often translating research ideas into deployable systems. Outside core research, he’s open to conversations about startups and collaboration, and maintains an active portfolio at pgasawa.github.io.
code6 years of coding experience
job1 year of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, Berkeley
bookB.S. Electrical Engineering and Computer Science (Honors) | B.S. Business Administration, GPA: 4.0, B.S. Electrical Engineering and Computer Science (Honors) | B.S. Business Administration, GPA: 4.0 at UC Berkeley Management, Entrepreneurship, & Technology (M.E.T.) program
bookHigh School Diploma, High School Diploma at Monta Vista High School
languagesEnglish, Hindi
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Github Skills (13)

unstructured-data8
pandas8
semantic-search8
python8
llm7
agentic7
full-stack6
synthetic-data4
language-model3
data-science2
machine-learning2
inference-engine2
pytorch2

Programming languages (3)

TypeScriptCSSPython

Github contributions (5)

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pgasawa/pgasawa.github.io

Feb 2024 - Feb 2026

Contributions:11 pushes, 1 branch in 2 years
pgasawa/BARE

Feb 2025 - Jul 2025

Leveraging Base Language Models for Few-Shot Synthetic Data Generation
Contributions:6 pushes, 1 branch in 5 months
language-modelsynthetic-data
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