Harry Georgakopoulos is an AI infrastructure and high-performance computing leader with 11 years of experience building and operating latency-sensitive systems across finance and cloud. As COO of Boost Run he now focuses on delivering secure bare-metal GPU cloud offerings, drawing on a decade-plus background in quantitative trading, digital assets, and deploying deep learning models for production. His career bridges hands-on engineering—from RF and electrical design to automated test systems—to quantitative research and HFT execution, giving him a rare fluency in both hardware and algorithmic software stacks. Former roles as Head of Digital Assets and Managing Director underscore his ability to translate cutting-edge research into commercially viable, regulated products. He has taught graduate quantitative finance and built production reinforcement learning and HFT systems, so he blends academic rigor with pragmatic deployment experience. Based in Chicago, he combines interests in crypto, physics and music with a technical foundation from University of Chicago and UIUC.
11 years of coding experience
9 years of employment as a software developer
University of Illinois Urbana-Champaign
Master of Science (MS) Financial Mathematics, Master of Science (MS) Financial Mathematics at University of Chicago
Master's degree Electrical and Electronics Engineering, Master's degree Electrical and Electronics Engineering at National Technological University
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Harry Georgakopoulos - COO At Boost Run AI Infrastructure