Summary
John Jimenez is a Senior Staff Engineer with 13 years of experience delivering cloud and edge solutions for the solar, wind, and energy storage sectors, currently driving delivery engineering and architecture at Univers/Envision Digital. He specializes in closing solution-architecture gaps, designing highly configurable frameworks to scale delivery quality, and leading cross-team technical guidance for real-time data acquisition, monitoring/control, and analytics. His background spans software engineering, statistical programming, and a stint as a data scientist building forecasting and statistical learning models for building energy management, giving him a rare blend of production-grade systems design and quantitative modeling. Early work as a quantitative research analyst in public health honed his statistical programming and team leadership skills, and he routinely applies test- and behavior-driven development to assure system qualities. Holding dual MS degrees in Computer Science and Engineering plus BAs in Statistics and Economics from UC Berkeley, UCLA, and Georgia Tech, he pairs strong academic depth with practical delivery-focused engineering. Based in San Jose, he balances hands-on implementation with project delivery account management and a consistent track record of making complex energy software projects actually ship.
13 years of coding experience
9 years of employment as a software developer
BA, Statistics, BA, Statistics at University of California, Berkeley
MS, Computer Science, MS, Computer Science at Georgia Institute of Technology
MS, Engineering, MS, Engineering at University of California, Los Angeles