Jeonghu Park
Software Engineer at Amazon
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top School
Top expert inCloud-native Kubernetes Ecosystem
Jeonghu Park is a software engineer with a decade of experience building and optimizing backend and DevOps tooling for large-scale services and open-source runtimes. He has driven storage and caching performance for Microsoft B2C Authentication at 100M+ MAU and now works at Amazon, bringing deep expertise in performance remediation, observability, and live-site support. A prolific contributor to the Dapr ecosystem, he has shipped actor-granular state features, installer improvements for cross-platform CLI installs, and state store reliability fixes across Redis and SQL Server integrations. Comfortable across Go, cloud-native patterns, and CI/CD automation, he blends production-grade engineering with practical developer experience improvements. Notably, his work spans both core runtime internals and the UX of getting Dapr running locally and on Kubernetes, reflecting a knack for bridging developer tooling and distributed systems.
10 years of coding experience
4 years of employment as a software developer
Bachelor's degree with distinction Computer Science, Bachelor's degree with distinction Computer Science at Purdue University
Korean, English
Github Skills (31)
kubernetes10
github-ci10
docker10
redis10
microservices-application10
dockers10
cicd10
dapr10
sql-server10
go10
kubernetes-pods10
state-management10
microservices10
githubaction-workflow10
test-automation10
Programming languages (17)
Github contributions (5)
dapr/dapr
Aug 2019 - Feb 2021
Dapr is a portable, event-driven, runtime for building distributed applications across cloud and edge.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 406 reviews, 369 commits in 1 year 6 months
Contributions summary:Jeonghu primarily focused on implementing and supporting actor-related features within the Dapr runtime. Their contributions included adding support for actor granular states, implementing unit tests, and integrating granular state functionality with HTTP endpoints. They also addressed bug fixes related to fasthttp and other minor code improvements. Furthermore, the user added API support for deleting actor state, modifying internal code logic for managing actors, and improving code efficiency.
sidecarserverlessruntimeevent-drivenmicroservice
dapr/cli
Aug 2019 - Nov 2020
Command-line tools for Dapr.
Role in this project:DevOps Engineer & Backend Developer
DevOps Engineer & Backend DeveloperContributions:18 reviews, 65 commits, 46 PRs in 1 year 3 months
Contributions summary:Jeonghu primarily focused on enhancing the Dapr CLI's standalone mode and its integration with various components. They implemented features for downloading and installing Dapr binaries, including support for different operating systems and archive formats (tar.gz, zip). Additionally, they contributed to the setup and management of standalone Dapr components, such as Redis and the placement service, with efforts on improving the installer script. Their work included integrating with Kubernetes and improving the overall installation and uninstallation process.
command-line-toolsdaprcli
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