Stephen Hong is a software engineer and MIT MEng candidate with nine years of hands-on experience building ML-driven products and full-stack tools. He has applied computer vision and action-recognition research to automated sports officiating at MIT and translated ML insights into business impact at Boeing, where his churn model was forecast to protect $116M in revenue. Stephen combines back-end and front-end fluency—React UIs, Java services, Python data pipelines—and has automated production workflows with CI/CD at Northrop Grumman. Now at Tubi, he’s scaling real-world systems while continuing to specialize in AI/ML; his background in teaching and mentoring also shows a knack for translating complex concepts into practical solutions. An enthusiast for action recognition and pose-based models, he blends research rigor with product-focused engineering to move models from prototype to production.
9 years of coding experience
2 years of employment as a software developer
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Massachusetts Institute of Technology
High School Diploma, High School Diploma at Walt Whitman High School
Contributions:2 pushes, 1 branch in 6 years 7 months
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