Summary
Eli Smith is a quantitative trader at BlackEdge Capital with 11 years of engineering and research-driven experience bridging signal processing, machine learning, and low-latency systems. He holds B.S. and M.S. degrees in Electrical Engineering from the University of Michigan and has applied sensor fusion, Kalman filtering, and sketching algorithms across satellite, robotics, and t-SNE research projects. Prior roles include production-focused software work at AWS (C++ backend and SQLite optimization) and embedded, real-time development for aerospace and autonomous systems. Comfortable moving between research and production, he mentors students and has a history of shipping performant code—from Jetson Nano neural nets to C++ unit suites for RTOS. Based in Chicago, Eli combines quantitative market making with a practitioner’s depth in algorithm design and systems engineering.
10 years of coding experience
2 years of employment as a software developer
Master's degree, Electrical Engineering, Master's degree, Electrical Engineering at University of Michigan
Beaver Works Summer Institute, Beaver Works Summer Institute at Massachusetts Institute of Technology
Canyon Crest Academy
Carelton College Summer Computer Science Institute, Computer Science, 4.83/5, Carelton College Summer Computer Science Institute, Computer Science, 4.83/5 at Carleton College