Summary
Mark Lee is a Software Development Engineer at AWS with 11 years of hands-on experience focused on machine learning, computer vision, and robotics. He has a strong track record of productionizing ML systems—optimizing inference for 1.6x speedups, halving memory footprint to double deployment capacity, and building latency and bottleneck benchmarking tools for PyTorch. His background spans research and applied roles from zooplankton classification at Scripps (95%+ test accuracy on million-image datasets) to robot obstacle-filtering and C++ performance tuning at Brain Corp. A UC San Diego summa cum laude CS graduate, he combines deep academic rigor with practical engineering that repeatedly turns models into scalable, efficient deployments. An under-the-radar strength is his cross-language systems work, from ONNX/Darknet interfacing to low-level performance optimizations, enabling ML pipelines end-to-end.
11 years of coding experience
1 year of employment as a software developer
University of California, San Diego
3.96, 3.96 at Monta Vista High School
English, Korean