Eric Liang is a Machine Learning Engineer at Meta with 11 years of experience building and researching ML systems, grounded in a Master’s in Machine Learning from Carnegie Mellon. He moved from research and teaching roles at CMU into industry positions at Cisco and Meta, combining hands-on model development with production-focused engineering. Eric brings experience across finance and energy domains from internships at Morgan Stanley and NextEra, which sharpened his skills in applied data science and quantitative analysis. As a former lead teaching assistant and research assistant, he blends strong pedagogical communication with rigorous experimental methodology. Based in New York, he maintains a personal site and active GitHub that reflect a designer’s sensibility toward clean implementations and reproducible code. Colleagues can expect a researcher-engineer who navigates both academic rigor and pragmatic product constraints.
11 years of coding experience
5 years of employment as a software developer
Master's degree Machine Learning, Master's degree Machine Learning at Carnegie Mellon University School of Computer Science
Bachelor's degree with University Honors Statistics and Machine Learning Computer Science, Bachelor's degree with University Honors Statistics and Machine Learning Computer Science at Carnegie Mellon University
Contributions:2 PRs, 6 pushes, 4 branches in 2 years 10 months
javascript
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.