Woonchan Cho is a software engineer with 10 years of experience building cloud-native, data-driven microservices and automation for healthcare and financial systems. Currently at Microsoft Azure in Redmond, he brings a strong backend focus with a proven track record in scalable ETL pipelines, DICOM imaging tooling, and production-grade test automation. His work at Washington University and contributions to the open-source cornerstone3D project show deep practical expertise in medical imaging formats and performance-sensitive byte-level processing. Earlier roles at J.P. Morgan and Citi reflect hands-on experience integrating payments, treasury systems, and legacy mainframe environments into modern architectures. He pairs technical breadth—from Java, Python, and Spring to React/Electron and MongoDB—with MBA-informed product judgment, making him effective at turning complex data and regulatory requirements into reliable, automated solutions.
10 years of coding experience
11 years of employment as a software developer
Master of Business Administration (MBA), Business Administration and Management, General, Master of Business Administration (MBA), Business Administration and Management, General at Washington University in St. Louis - Olin Business School
Chinese Language Program, Chinese, Chinese Language Program, Chinese at Tsinghua University
Bachelor of Science (B.S.), Computer Science and Industrial System Engineering, 3.57/4.3, Bachelor of Science (B.S.), Computer Science and Industrial System Engineering, 3.57/4.3 at Yonsei University
Cornerstone is a set of JavaScript libraries that can be used to build web-based medical imaging applications. It provides a framework to build radiology applications such as the OHIF Viewer.
Role in this project:
Back-end Developer & Test Automation Engineer
Contributions:10 commits in 1 year
Contributions summary:Woonchan primarily focused on improving the cornerstone3d library's functionality and robustness related to medical imaging, specifically DICOM file processing. They addressed performance issues in writing byte data for encapsulated multiframe images by optimizing buffer allocations and fixing errors in the DicomDict write method. Additionally, the user worked on processing logic for unknown and attribute VRs, implementing tests to validate these changes. These updates showcase their contribution to the core functionality, performance, and testing aspects of the library.
Contributions:71 commits, 39 pushes, 2 branches in 1 year 1 month
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