Regan Karlewicz

Platform Engineer

Seattle, Washington, United States
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Summary

👤
Senior
🎓
Top School
Regan Karlewicz is a platform engineer with 11 years of software experience and a strong full-stack background, currently building platform capabilities at TV Labs. He has driven performance-first web and streaming projects—cutting page loads from 10s to 1s at MotorTrend and leading rapid white-label Roku builds—with expertise across React, GraphQL, BrightScript/BrighterScript, Python, Kubernetes, and Terraform. Regan champions observability and automated quality checks, having introduced monitoring, alerts, and CI-driven bundle-size metrics at Hearst and published an open-source graphql-request-profiler to surface API performance. Comfortable shipping both serverless backends and resource-constrained client apps, he balances elegant, maintainable code with practical performance engineering. Based in Seattle, he pairs a dual Computer Science/Mathematics education with a knack for turning complex media requirements into fast, reliable user experiences.
code11 years of coding experience
job6 years of employment as a software developer
bookHigh School Diploma, High School Diploma at Tahoma Senior High School
bookBachelor of Science (B.S.) Computer Science / Mathematics, Bachelor of Science (B.S.) Computer Science / Mathematics at Western Washington University
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Stackoverflow

Stats
186reputation
13kreached
11answers
2questions
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Github Skills (142)

automation10
appium10
javascript10
webdriver10
mobile-application10
typescript10
inspector10
android10
google-publisher-tag10
devtools9
rest9
api9
swagger-ui9
test-automation9
swagger9

Programming languages (13)

CSSRustGoHTMLTypeScriptDockerfileShellAdblock Filter List

Github contributions (5)

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tv-labs/wdio-service

Mar 2025 - Apr 2026

WebdriverIO service that improves integration with TV Labs
Contributions:6 releases, 24 reviews, 40 PRs in 1 year 1 month
webdriverioappiumwebdriverwdio-pluginwdio-service
Easy to use GraphQL performance analysis utility for tracing resolver execution time
Contributions:32 commits, 24 PRs, 63 pushes in 3 months
graphqlapolloexpressexpress-graphqlperformance
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