Dimitris Zermas is a Manager of Machine Learning with a decade of experience turning academic-grade computer vision and perception research into scalable agritech products. At John Deere he leads the Sentera-derived ML and computer vision efforts to deliver actionable, field-scale insights to growers worldwide, after founding and scaling Sentera’s ML capabilities that led to its acquisition. He holds a Ph.D. in Computer Science from the University of Minnesota and has deep technical roots in geometric vision, robotics, and real-time perception systems. Dimitris combines hands-on expertise building deep learning pipelines and aerial computer vision tools with a proven ability to grow teams and operationalize models in production. As an advisor to Tola Capital he evaluates and mentors computer vision startups, bridging technical due diligence and product strategy. Colleagues describe him as a research-driven pragmatist who focuses on measurable impact where AI meets the physical world.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Minnesota
Bachelor of Science (BS) Electrical and Electronics Engineering, Bachelor of Science (BS) Electrical and Electronics Engineering at Panepistimion Patron - Electrical Engineering department
Implementation of ideas from generative agents using the power of LLM, T2S, and S2T networks.
Contributions:5 pushes, 1 branch in 11 months
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Dimitris Zermas - Manager, Machine Learning at Tola Capital