Summary
Sean Reynolds is a Senior Machine Learning Engineer with over a decade of hands-on experience building vision-driven AI systems and embedded software for automotive and medical applications. He has led algorithm teams and R&D efforts—most notably creating a laser-and-camera wheel-scanning sensor whose probabilistic computer vision algorithms produced roughly $1M/month in new profit after launch. Comfortable from low-level PIC assembly and CAN-bus integration to probabilistic learning and point-cloud processing, he bridges hardware, firmware, and ML in production products. Sean has held progressive machine-learning leadership roles at Physna, Cognitive Spring, and Aker Technologies, and brings director-level software ownership dating back to international work in London and India. He combines a Master’s in Computer Engineering with a practical tester’s mindset (oscilloscopes and custom test rigs) to unearth signal-level insights that improve algorithms. Colleagues rely on his resourceful, analytical approach to translate noisy sensor data into robust, deployable intelligence.
11 years of coding experience
21 years of employment as a software developer
Master of Science (M.S.) Computer Engineering, Master of Science (M.S.) Computer Engineering at Washington University in St. Louis
Bachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at Concordia University, Nebraska