Ming Zeng
Research Scientist at ByteDance
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMing Zeng is a research scientist in Mountain View with 11 years of experience building language understanding, recommendation, and conversational AI systems across industry leaders including ByteDance, Amazon, and Meta. He led development of Amazon’s first LLM-powered shopping assistant and has deep expertise in GenAI, agents, and recommendation models informed by a PhD from Carnegie Mellon. His background spans both applied production work—shipping conversational experiences and recommender pipelines—and core research from internships at Google and Microsoft Research, giving him a rare blend of rigor and product focus. Fluent in turning research into scalable features, he also has early experience in behavioral biometrics and mobile ML, hinting at a broad curiosity for real-world signal integration.
11 years of coding experience
10 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Sun Yat-sen UniversityBachelor's degree Mathematics, Bachelor's degree Mathematics at South China University of TechnologyDoctor of Philosophy (Ph.D.) Computer Engineering, Doctor of Philosophy (Ph.D.) Computer Engineering at Carnegie Mellon UniversityMachine Learning, Machine Learning at National University of Singapore
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (100)
interface-builder10
rss10
tweak10
swift10
theos10
mobile10
objective-c10
ios10
font-library10
code-generator9
cli9
hud9
command-line-tool9
height9
tvos9
Programming languages (10)
Github contributions (5)
zvving/MCPDict
Aug 2016 - Nov 2021
Contributions:12 commits, 7 pushes in 5 years 4 months
android-appandroid
zvving/zvving.github.io
Feb 2016 - Feb 2016
Contributions:52 pushes, 6 branches in 12 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.