Malcolm Grossman is a computer vision researcher and engineer with nine years of experience applying machine learning to real-world problems, most notably leading a Minnesota DOT project that improved traffic camera vehicle detection by 35% across 50+ locations. He combines deep technical skills in Python and TensorFlow with practical data engineering—having analyzed 2.5TB of footage and maintained Linux servers and SQL databases—to translate complex results into actionable reports for non-technical stakeholders. Malcolm’s industry background includes performance optimization and game engineering at Babaroga, where he shipped content across Unity and Unreal and drove measurable engagement and revenue gains. Now based in Minneapolis, he coordinates community-focused technology reuse and repair initiatives as Apple Department Lead at Free Geek Twin Cities. Curious and collaborative, he brings an uncommon mix of academic rigor and product-minded delivery, often bridging research prototypes into operational deployments.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Minnesota
Mathematics, Mathematics at University of Illinois at Chicago
Bachelor of Arts - BA, Computer Science, Bachelor of Arts - BA, Computer Science at Carleton College
Contributions:40 commits, 19 pushes, 1 branch in 1 year
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