Yi Hung
Research Consultant at WorldQuant
Taiwan
Summary
👤
Senior🎓
Top SchoolYi Hung is a multidisciplinary engineer with 8 years of experience blending quantitative research, ML engineering, software development, and product sense to ship production-grade data-driven systems. At WorldQuant he developed 50+ alpha factors and rigorous backtests, while in industry roles he deployed real-time computer vision on edge devices (>30 FPS) and built full-stack products including a React Chrome extension and real-time LLM-enabled chat. He accelerates teams with CI/TDD and AI-assisted workflows—boosting developer efficiency 2–3×—and consistently converts rapid POCs into monitored production pipelines that increased throughput by up to 50%. Comfortable across the stack, he pairs hands-on model engineering with pragmatic system design and reusable component libraries to improve maintainability and velocity. Notably, he has experience vetting model licenses for commercial use and turning academic research into deployable POCs within weeks. Based in Taiwan and available from June 2026, he seeks roles that combine production software engineering with ML/quant leadership.
8 years of coding experience
3 years of employment as a software developer
碩士, Computer Programming, 碩士, Computer Programming at 國立清華大學學士, Information Technology, 學士, Information Technology at 國立臺北科技大學
Github Skills (58)
computer-vision9
image-classification9
pose-estimation9
perceptual-losses9
cli9
object-detection9
python8
deep-learning8
instance-segmentation8
machine-learning8
yolov88
hub8
pytorch8
structures8
yolov78
Programming languages (9)
Github contributions (5)
kamisakihideyoshi/tensorflow
Nov 2018 - May 2019
tensorflow
Contributions:13 commits in 6 months
tensorflowtensorflow2
techdiverdown/git_lesson
Oct 2019 - Sep 2024
Orielly learning lesson
Contributions:2 PRs, 1 comment in 5 years
react
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