Summary
Douglas Holman is a hands-on Staff Machine Learning Engineer based in Berkeley with eight years of experience designing, deploying, and maintaining production ML systems and leading high-performing teams. He has progressed from academic research in deep learning and genetics to applied roles across industry—shaping ML strategy and implementation at Flock Safety after senior positions at Modzy, Booz Allen, and Zymergen. Douglas blends expertise in deep learning, reinforcement learning, probabilistic graphical models, and unsupervised learning with strong software engineering practice, enabling reliable model delivery in safety- and mission-critical products. His background in applied mathematics (including algebraic geometry and computational algebraic topology) gives him a distinctive theoretical lens for tackling complex modeling problems. Colleagues know him as a technical leader who stays hands-on in code while mentoring scientists and engineers to scale ML from prototype to production.
8 years of coding experience
6 years of employment as a software developer
Master's degree, Master's degree at University of Pennsylvania
Honors Bachelor of Science, Honors Bachelor of Science at Oregon State University
Stanford University
English