Lezhi Li is a Data Research Associate with 11 years of experience building ETL pipelines and extracting clinical data from Epic EHR to support research across cardiology, oncology, OB-GYN, and neurology. Based in Loveland, Ohio, Lezhi combines SSIS and Python expertise with familiarity in OMOP ETL to turn messy health data into research-ready datasets. Past roles span BI, database and application development, giving a strong foundation in data modeling and production ETL at organizations from Athena IT Solutions to Beacon Health Strategies. Lezhi also contributes to open-source projects as a front-end developer — notably making UI and CI improvements to Uber's Manifold, a prominent model-agnostic ML debugging tool — reflecting an ability to bridge data engineering and user-facing tooling.
11 years of coding experience
3 years of employment as a software developer
Postgraduate Degree, Data Science, Postgraduate Degree, Data Science at University of Cincinnati
Master's degree, Information System, Master's degree, Information System at Northeastern University
Bachelor's degree, Management Information Systems, General, Bachelor's degree, Management Information Systems, General at Shanghai Ocean University
A model-agnostic visual debugging tool for machine learning
Role in this project:
Front-end Developer
Contributions:229 commits, 31 PRs, 101 pushes in 1 year 4 months
Contributions summary:Lezhi primarily focused on front-end development tasks, as demonstrated by the code changes related to UI components. This included linting and setting up Travis CI for code quality checks. The user synced changes and updated the version of the project.
Contributions:3 pushes, 1 branch in 2 years 6 months
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.