Qingyi Xia
Old Toronto, Ontario, Canada
Summary
🤩
Rockstar🎓
Top SchoolQingyi Xia is a software engineer with four years of hands-on experience building secure, user-facing systems and data-driven backends, with an MEng in Machine Learning from the University of Toronto and a BASc in Industrial Engineering with a minor in AI. They have delivered end-to-end health-tech solutions and award-winning mobile apps—leading a cross-platform wellness app that improved load times by 30% and achieved 90% test coverage—while also strengthening backend security and compliance for electronic health records. Qingyi’s contributions to the prominent open-source HAPI FHIR project demonstrate practical expertise in FHIR server storage, bulk export, and PATCH operations, bridging clinical-data standards with production systems. Past roles include backend development with Node.js/Express/MongoDB and data analytics for smart grid optimization, where data-cleaning work cut inconsistencies by 25%. Comfortable spanning full-stack product delivery and ML-informed engineering, Qingyi is seeking software development or AI engineering opportunities that combine secure systems design with impactful, data-centric products.
3 years of coding experience
2 years of employment as a software developer
Master of Engineering - MEng, Machine Learning & Data Science, A, Master of Engineering - MEng, Machine Learning & Data Science, A at University of Toronto
Github Skills (12)
smart-on-fhir10
javas10
jpa10
hapi-fhir10
hl7-fhir10
back-end-development10
java10
api-design9
restful-api9
rest-api9
api-rest9
testing8
Programming languages (1)
Github contributions (2)
hapifhir/hapi-fhir
Jun 2022 - Jan 2023
🔥 HAPI FHIR - Java API for HL7 FHIR Clients and Servers
Role in this project:
Back-end Developer
Back-end DeveloperContributions:25 reviews, 41 commits, 29 PRs in 7 months
Contributions summary:Qingyi primarily focused on enhancing the HAPI FHIR Java API, particularly within the JPA server and storage components. Their contributions included implementing and refining functionalities related to data expunging, including handling deleted resource counts, and supporting the PATCH operation for resource updates. The user also addressed critical issues by correcting bulk export paths with fixed URLs. Additionally, this user also modified the code regarding the handling of $export-poll-status, and implementing a new setting for bulk export files.
hl7-fhirapihapihl7apps
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