Francis Indaheng is a software engineer with nine years of experience building large-scale simulation and evaluation pipelines for autonomous systems and cloud infrastructure, currently contributing to Zoox's synthetic, log-based, and ML-generated simulation efforts. With dual BS degrees from UC Berkeley in Business and Electrical Engineering & Computer Sciences through the M.E.T. program, he blends rigorous engineering with product-minded systems thinking. His background spans research toolkits for AI autonomy at Berkeley AI Research, cloud migrations and access-control services at AWS, and collaborative simulation platforms at Applied Intuition, showing a consistent focus on scalable, testable pipelines for complex systems. Notably, he pairs industry experience with academic research in perception and verification, enabling practical solutions that bridge simulation fidelity and deployable infrastructure. Based in San Francisco, Francis brings a cross-disciplinary perspective uncommon for engineers of his seniority, equally fluent in research tooling and production cloud services.
9 years of coding experience
4 years of employment as a software developer
Valedictorian, Valedictorian at Santa Teresa High School
B.S. Electrical Engineering and Computer Sciences, B.S. Electrical Engineering and Computer Sciences at UC Berkeley College of Engineering
Dual-Degree B.S. Program, Dual-Degree B.S. Program at UC Berkeley Management, Entrepreneurship, & Technology (M.E.T.) program
B.S. Business Administration, B.S. Business Administration at University of California, Berkeley, Haas School of Business
Contributions:44 commits, 40 pushes, 1 branch in 2 months
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