Wilson Hung is a software engineer with eight years of experience building production-ready systems in AI, cloud, and robotics, now at Meta after internships and roles at Amazon Alexa and Wiwynn. He combines an MS in Electrical and Computer Engineering from Duke with hands-on expertise in Python, C++, ROS, Docker, and AWS to deliver high-accuracy ML models, scalable pipelines, and real-time control platforms. Notable achievements include a TensorRT object-detection pipeline with 99% accuracy, a 3x server throughput improvement documented for an industry conference, and an AWS-based crawler and Glue integration for Alexa. Wilson also led a team to automate CAD grading at Duke and shipped internal tools that cut lookup and scheduling time by large margins, showing a knack for reducing operational overhead. Equally comfortable in research and product settings, he codes daily and pairs technical depth with a practical focus on reliability and deployment. Outside work he applies the same analytical rigor to stock investing and continual self-directed learning.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS Electrical and Electronics Engineering, Bachelor of Science - BS Electrical and Electronics Engineering at Chang Gung University
Master of Science - MS Electrical and Computer Engineering, Master of Science - MS Electrical and Computer Engineering at Duke University
Non Degree Program -- Exchange Student College of Science and Engineering, Non Degree Program -- Exchange Student College of Science and Engineering at University of Minnesota
My personal stock investing blog, it was built by flask, javascript, sass, html5. Allow visitors to search stock/etf in the US market.
Contributions:154 pushes, 1 branch in 9 months
pythonsassflaskjavascriptetf
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