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.
6 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, Berkeley
B.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
High School Diploma, High School Diploma at Monta Vista High School
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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