Summary
Nathan Murthy is a Head of Engineering with 11 years of experience building distributed systems and energy-focused software, now leading a team that combines generative AI/ML with renewable energy procurement and valuation tools. He brings deep backend expertise in Go, Python, Postgres, Snowflake and Google Cloud, paired with frontend TypeScript+React, and a track record of shipping large-scale financial and energy platforms at Stripe and Tesla. His work spans product-facing analytics that process billions of transactions to safety-critical factory and grid-control systems, reflecting a comfort with both high-throughput data pipelines and mission-critical embedded domains. A UC Berkeley applied mathematics graduate, he has repeatedly operated at the intersection of energy and software—helping commercialize distributed storage, solar, and virtual power plant concepts. Known for hands-on technical leadership and building recruiting and retention programs, he often blends pragmatic engineering with long-term product strategy. An intriguing throughline: he moves seamlessly between low-level control systems and high-scale cloud analytics, making complex energy problems consumable for product teams and customers.
11 years of coding experience
12 years of employment as a software developer
Bachelor's degree, Applied Mathematics, Interdisciplinary Studies, Bachelor's degree, Applied Mathematics, Interdisciplinary Studies at University of California, Berkeley
Diploma, Diploma at Lawrence E. Elkins High School