Kung-hung Lu
Teaching Assistant at University of Washington
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolKung-hung Lu is a software engineer and researcher with 11 years of experience, currently teaching and supporting graduate-level courses in machine learning and embedded software at the University of Washington. He designs and leads Kubernetes-based LLM inference platforms, blending hands-on systems engineering with ML research roots from Academia Sinica and industry internships. His work on image aesthetic assessment and captioning has appeared at top venues like ICCV and GlobalSIP, reflecting a strong track record in applied computer vision and deep learning. Comfortable across research and production, he bridges distributed systems, model deployment, and engineering education. Based in Seattle, he brings an academic rigor and practical mindset to production AI systems, often translating research prototypes into scalable inference services. An understated strength is his ability to mentor students while owning complex infrastructure projects end-to-end.
11 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at University of WashingtonMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at National Taiwan University
Github Skills (2)
deep-learning1
computer-vision1
Github contributions (5)
kevinlin311tw/neural-branchpred
May 2019 - Jun 2019
Contributions:5 pushes in 6 days
kunghunglu/DeepPhotoCritic-ICCV17
Oct 2017 - Oct 2017
Contributions:2 pushes, 1 branch in 1 day
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