Keon Amini
Leawood, Kansas, United States
Summary
🤩
Rockstar🎓
Top SchoolKeon Amini is a backend-focused software engineer with 9 years of experience building scalable, maintainable systems primarily in Go, with strong Java and Python backgrounds. He has a track record of architecting microservices, designing custom testing and integration frameworks, and leading large refactors that improve modularity and observability. Keon contributed core functionality to the Apache DevLake project—enhancing git extraction, error handling, and logging—which underscores his strength in dev-data integration and open-source collaboration. At companies from startups to enterprise healthcare, he’s delivered distributed systems (WebRTC proxies, Jetstream-backed schedulers, Cassandra-backed services) and deep observability via OpenTelemetry and Grafana. He pairs pragmatic engineering with tooling improvements—custom IPC, loggers, and middleware—that reduce cognitive load across teams. Outside engineering he sketches cityscapes, a detail that surfaces his methodical eye for structure and perspective.
9 years of coding experience
7 years of employment as a software developer
University of Kansas
English
Github Skills (13)
golang10
error-handling10
go10
data-integration10
data-engineering10
devops9
etl9
git9
docker8
data-analysis8
dockers8
github7
open-source7
Programming languages (7)
Github contributions (5)
apache/incubator-devlake
Jun 2022 - Jan 2023
Apache DevLake is an open-source dev data platform to ingest, analyze, and visualize the fragmented data from DevOps tools, extracting insights for engineering excellence, developer experience, and community growth.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:276 reviews, 27 commits, 133 PRs in 7 months
Contributions summary:Keon contributed to the core functionalities of the Apache DevLake platform, focusing on integrating and enhancing its data extraction and processing capabilities. Their work involved refactoring the gitextractor plugin, improving its modularity and maintainability. They also added support for GitHub milestones, incorporated logging enhancements, and made improvements to the error handling framework, including the handling of compressed logging archives. Their contributions demonstrate a focus on data integration, processing, and system reliability.
datavisualizeengineeringdata-collectiondata-platform
keon94/experimental
Sep 2019 - Sep 2024
Contributions:1 review, 1 PR, 169 pushes in 5 years
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