Shao-wen Lai
Software Engineer at Microsoft
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolShao-wen Lai is a software engineer with nine years of experience specializing in IoT, backend systems, and computer vision, now working at Microsoft after a multi-year tenure building autonomous checkout technology at Zippin. At Zippin he progressed from developing real-time object recognition, camera calibration, and multi-sensor data processing to designing a core decision system based on task dependency graphs. His strong academic foundation in mathematics (MS, Rutgers; BS, National Taiwan University) informs numerically robust solutions for sensor fusion and realtime inference. Based in San Francisco, he blends cloud-native backend engineering with embedded/pub-sub IoT experience to ship production systems at scale. Colleagues describe him as someone who turns complex sensor and model outputs into reliable operational workflows, with a knack for formalizing implicit system dependencies.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BS) Mathematics, Bachelor of Science (BS) Mathematics at National Taiwan UniversityMaster’s Degree Mathematics, Master’s Degree Mathematics at Rutgers University
Github Skills (3)
object-detection1
pytorch1
deep-learning1
Github contributions (5)
judichunt/clinical-studies-duration
Mar 2023 - Nov 2023
Contributions:1 PR, 7 pushes, 4 branches in 8 months
judichunt/yolo2-pytorch-realtime-video
May 2018 - May 2018
Contributions:39 pushes in 1 day
deep-learningpytorchobject-detectionyolov2
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