Vincent Zeng
Machine Learning Engineering at Atlassian
Plano, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolVincent Zeng is a Machine Learning Engineer with 11 years of experience building production AI/ML systems that drive business outcomes, from multimillion-dollar projects to real-time fraud and anti-cheat platforms serving millions of users. He blends academic rigor—five peer-reviewed papers and two US patents—with product-focused execution, having led end-to-end deployments using LLMs, RAG, VectorDBs, and streaming architectures. His career spans research-grade edge and disaster-response platforms (EmuEdge, DistressNet-NG) to enterprise ML at J.P. Morgan and Atlassian, demonstrating strength across networking, distributed systems, and large-scale data pipelines. An active open-source maintainer with projects exceeding 3k GitHub stars, he turns prototype ideas into tools that others adopt. Vincent also quietly runs stealth ventures in Digital Health, DeFi, and fintech AI, reflecting an entrepreneurial instinct to apply ML where it tangibly changes systems and lives. Based in Plano, Texas, he consistently bridges research, product, and engineering to deliver resilient, high-impact solutions.
10 years of coding experience
10 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Texas A&M UniversityBachelor of Engineering - BE Software Engineering, Bachelor of Engineering - BE Software Engineering at Harbin Institute of Technology
Chinese, English
Github Skills (75)
ui-components10
marker10
clustering10
polygons10
react-components10
typescript10
leaflet10
react10
language-design9
antd9
ui-design9
carbon-emissions8
optimization7
linear-programming7
operations-research7
Programming languages (7)
Github contributions (5)
ykzeng/hack
Oct 2016 - Aug 2020
Contributions:49 commits, 48 pushes, 1 branch in 3 years 10 months
ykzeng/emuedge
May 2018 - Apr 2020
Contributions:42 commits, 35 pushes, 2 branches in 1 year 11 months
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