Shawn Zhu
Software Developer at Epic
Madison, Wisconsin, United States
Summary
🤩
Rockstar🎓
Top SchoolShawn Zhu is a pragmatic software developer based in Madison, Wisconsin with 12 years of hands-on experience building and supporting software and IT systems. Currently at Epic, he brings practical backend expertise—demonstrated by contributions to the popular open-source Apache Superset project where he improved Celery integration, fixed database connection issues, and updated documentation. His background blends formal computer engineering and computer science training from UW–Madison with operational IT support roles, giving him a strong appreciation for reliable deployments, cross-platform troubleshooting, and clear technical documentation. Shawn has also led small projects such as an AI discovery initiative during an internship, showing curiosity for emerging tools and a talent for organizing teams and processes. Colleagues rely on him for steady execution and for translating complex backend changes into maintainable, well-documented solutions.
12 years of coding experience
High School Diploma, Class of 2021, High School Diploma, Class of 2021 at Stevenson High School, Lincolnshire, ILBachelor of Science - BS, Computer Engineering & Computer Science, Class of 2024, Bachelor of Science - BS, Computer Engineering & Computer Science, Class of 2024 at University of Wisconsin-Madison
Stackoverflow
7,409reputation
952kreached
173answers
20questions
selenium
top-5%
chef-infra
top-5%
Github Skills (26)
python10
back-end-development10
celery10
flask-ask10
apache-superset10
flask10
selenium9
data-visualizations9
data-analytics9
data-visualisation9
nodejs9
chef-infra9
data-visualization9
sql8
testing8
Programming languages (17)
Github contributions (5)
apache/superset
Jul 2017 - Sep 2021
Apache Superset is a Data Visualization and Data Exploration Platform
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 reviews, 11 commits, 13 PRs in 4 years 3 months
Contributions summary:Shawn primarily contributed to the back-end functionality of the Apache Superset platform. Their commits focused on fixing bugs related to content types and database connections, as well as refactoring the Celery integration and updating dependencies. They demonstrated proficiency in Python and related libraries by modifying existing code and adapting configurations. Moreover, the user enhanced the platform's documentation to reflect these changes.
pythonapache-supersetflaskbusiness-analyticsbusiness-intelligence
shawnzhu/artifacts-v2
Nov 2016 - Mar 2017
Contributions:34 PRs, 68 pushes, 33 branches in 4 months
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