Summary
Devin Nakamura is a data science executive with 15 years of experience building production-grade ML systems and leading cross-functional engineering teams for both hyperscale cloud services and mission-critical enterprise software. As VP of Data Science at Energsoft he architected a hybrid cloud analytics platform that monitors 500,000 batteries worldwide, applying advanced ML to 50+ chemistries and over 100 electrochemical and spectroscopy features to predict life, detect anomalies, and drive product decisions for EV, consumer electronics, and defense customers. Prior roles at Google and Microsoft combine deep MLOps, ads and knowledge-graph analytics, and bespoke middleware for financial services, giving him a rare mix of scalable infrastructure and domain-focused modeling expertise. He pairs an MIT AI background with an Executive MBA from the University of Washington, enabling him to translate complex technical signals into commercial outcomes. A practical innovator, Devin is equally comfortable tuning impedance spectroscopy models as he is operationalizing them in production at fleet scale.
14 years of coding experience
13 years of employment as a software developer
Bachelor's degree, Artificial Intelligence, Bachelor's degree, Artificial Intelligence at Massachusetts Institute of Technology
Executive MBA, Executive MBA at University of Washington - Michael G. Foster School of Business