Utkarsha Agwan is a machine learning engineer based in Oakland with a decade of experience blending research-grade ML with practical energy-sector solutions. With a PhD candidate trajectory at UC Berkeley and hands-on roles at C3 AI and Tyba Energy, he specializes in ML and optimization for factory production and distributed energy resources. He has consulted for startups on demand-response valuation, market strategy, and regulatory analysis for battery technologies, showing a rare mix of technical depth and commercial acumen. Early work includes embedded systems development in Rust and prototypes combining sensors and IoT, reflecting a broad engineering toolkit across software, hardware, and systems. Active on GitHub and grounded in both academia and industry, he focuses on moving models from research into production-grade energy applications.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD EECS, Doctor of Philosophy - PhD EECS at University of California, Berkeley
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Utkarsha Agwan - Machine Learning Engineer at Tyba