Monica Kuo
Software Engineer at Microsoft
Greater Seattle Area United States
Summary
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Rockstar🎓
Top SchoolMonica Kuo is a software engineer with 11 years of experience building resilient, production-grade full stack systems, currently delivering microservices and responsive web apps at Microsoft in the Greater Seattle area. She specializes in scalable, distributed microservices with a strong emphasis on reliability—designing retry logic, testing suites, and performant cross-service data models that support asynchronous workflows. Monica pairs backend strengths (APIs, Azure integrations, CI/CD) with front-end work in React/Redux and AG Grid, and has participated in full product lifecycles from conception to GA and on-call ownership. She is an active open-source contributor in healthcare tooling, improving core Synthea logic (distance calculations, provider imports, and FHIR exports) to better simulate synthetic patient data. Known for effective cross-geo collaboration with PMs, customers, and engineering teams, she brings a pragmatic problem-solving approach and a knack for turning messy requirements into reliable, user-friendly solutions.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of Virginia
Stackoverflow
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Github Skills (7)
simulations10
simulation10
ruby10
hl7-fhir9
smart-on-fhir9
testing8
json7
Programming languages (2)
Github contributions (5)
synthetichealth/synthea
Jun 2017 - Jul 2017
Synthetic Patient Population Simulator
Role in this project:
Back-end Developer
Back-end DeveloperContributions:38 commits, 3 PRs, 23 pushes in 1 month
Contributions summary:Monica primarily contributed to refining distance calculation logic within the Synthea project, focusing on the use of the Haversine formula. They modified several core Ruby files, including those related to provider and hospital services, and added tests for hospital and encounter utilization. Furthermore, the user was involved in importing providers using JSON data and making updates to FHIR exporters, particularly for DSTU2, and ensuring proper provider references.
health-datafhirpatientsimulationsimulator
lloydouyang/Artificial-Intelligence_Expert-System
Sep 2017 - Sep 2017
Contributions:2 PRs, 10 pushes, 1 branch in 9 days
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