Summary
Matthew Jenkins is a Team Lead in ML Engineering and Advanced AI with eight years of experience building production-grade AI systems that translate complex environmental and agricultural data into actionable, scalable decisions. With a PhD from UC Davis, he blends first-principles thinking, optimization, and explainability to deliver robust ML solutions across clean energy and sustainable agriculture. He has shepherded technology from lab to market—patenting and licensing a water sensing and delivery system—and led cross-disciplinary teams to deploy automation, computer vision, and large-scale modeling in real-world operations. Based in Denver, he pairs hands-on engineering with strategic partnership-building, having steered products, secured industry adoption, and improved resource efficiency for high-value crops and renewable energy assets.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Data Science Horticulture and Agronomy, Doctor of Philosophy - PhD Data Science Horticulture and Agronomy at University of California, Davis
Bachelor of Science (BS) - Botany Physics, Bachelor of Science (BS) - Botany Physics at University of Wisconsin-Madison
English, German, Spanish