Summary
Yuchen Lu is a software engineer with eight years of experience specializing in embedded systems, computer vision, and ML-enabled edge solutions, currently based in Seattle and seeking SDE/embedded roles for 2025/2026. He developed a production-grade pedestrian detection pipeline on Sony’s IMX500 and Linux using Python and C++, boosting accuracy to 98% and cutting latency by 30%, and built an embedded labeling algorithm with 99.8% accuracy that slashed workflow time by 80%. Academically strong with dual graduate degrees from Cornell and Northeastern and a 4.0 MS in CS, he combines rigorous theory with hands-on optimization across hardware (Raspberry Pi) and software stacks. Known for pragmatic ML-based ISP tuning that improved image quality and robustness across lighting and weather, he brings a measurable impact focus to perception and edge-compute problems.
8 years of coding experience
Bachelor of Engineering - BE, Electronic Information Science and Technology, GPA:3.98/4.0, Bachelor of Engineering - BE, Electronic Information Science and Technology, GPA:3.98/4.0 at Nanjing Agricultural University
Master of Science - MS, Computer Science, 4.0, Master of Science - MS, Computer Science, 4.0 at Northeastern University
Master of Engineering - MEng, Electrical and Computer Engineerng, 3.98, Master of Engineering - MEng, Electrical and Computer Engineerng, 3.98 at Cornell University