Fan Zeng
ML Research Engineer at Jane Street
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolFan Zeng is an ML research engineer based in New York with 11 years of software engineering experience spanning backend systems, infrastructure, and machine learning research. After rising through multiple engineering roles and internships at Jane Street, Facebook, and Asana, Fan now focuses on applying rigorous research methods to production ML problems. He has led projects at Autolab, contributing backend features and schema work for an auto-grading course management system, demonstrating a strong grasp of data models and controller logic. Fan combines academic training from Carnegie Mellon with hands-on systems and Linux expertise, making him adept at turning experimental models into reliable, deployable services. Notably, his career shows a pattern of fast progression within the same organization, reflecting both technical depth and strong operational impact.
11 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Carnegie Mellon UniversityHwa Chong Institution
English, Chinese
Github Skills (9)
activerecord10
rails10
ruby-on-rails10
api-design9
rest-api8
database-design8
autograd7
ed255197
auto-generate7
Programming languages (8)
Github contributions (5)
autolab/Autolab
Feb 2019 - Jun 2022
Course management service that enables auto-graded programming assignments.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 90 reviews, 276 commits in 3 years 3 months
Contributions summary:Fan primarily contributed to the back-end of the course management service. Their work includes implementing features such as allowing course assistants to submit assessments early, modifying score update logic for non-autograded problems and fixing header position checks within the submission controller. They also worked on schema updates, and refactored some code to models. The user demonstrated a good understanding of the application's data models and controller logic.
course-managementpythonrailsteachingcmu
autolab/Tango
Jan 2019 - Apr 2022
Standalone RESTful autograding service
Contributions:1 release, 43 reviews, 202 commits in 3 years 3 months
pythonrestfultangoautolabstandalone
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