Stephen Li is a software developer with 8 years of experience building scalable healthtech and infrastructure systems, currently contributing to Google Health from San Jose. He has led large distributed teams and driven architecture and migration efforts—most recently moving DispatchHealth from a Rails monolith to Go microservices and delivering logistic and scheduling systems that materially cut cost and wait times. At Google he worked on clinical search and streaming clinical alerts (Care Studio and Streams), converting HL7 to FHIR and migrating services from Python to Go to support mission-critical clinical workflows. A hands-on engineer with strong DevOps chops, he’s an active contributor to Knative’s serving and test-infra projects, automating coverage reporting and CI/CD integrations for a major Kubernetes-based serverless platform. Equally comfortable in system design committees and in scripting build and presubmit pipelines, he blends leadership, measurable product impact, and deep operational experience.
8 years of coding experience
11 years of employment as a software developer
B.S. Electrical Engineering and Computer Science, B.S. Electrical Engineering and Computer Science at University of California, Berkeley
Contributions:46 commits, 56 PRs, 11 pushes in 1 year 3 months
Contributions summary:Stephen primarily contributed to the test infrastructure for the Knative project. Their work included developing a code coverage project, fixing build failures, and refactoring directory structures for coverage reports. Furthermore, they worked on integrating with the CI/CD pipeline, specifically addressing issues related to test grid and ensuring the inclusion of coverage reports within the automated workflow. They also made modifications to the monitoring system.
Contributions:9 commits, 20 PRs, 3 pushes in 8 months
Contributions summary:Stephen primarily contributed to the automation of testing and infrastructure-related tasks within the Knative serving repository. They developed and maintained scripts for code coverage generation and upload using Go, GCS, and bash. They also refactored and improved existing scripts related to code generation, dependencies, and presubmit testing, and contributed to the overall structuring of coverage reporting, incorporating pull request and commit ID association. Their work included modifying prow jobs, modifying scripts to generate coverage profiles, and ensuring proper deployment of these profiles.
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