Yiming Luo

Boston, Massachusetts, United States
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Summary

🤩
Rockstar
🎓
Top School
Yiming Luo is a senior software engineer with 11 years of experience building large-scale, safety-critical infrastructure at top tech companies, currently based in Boston and open to East Coast roles. He has a strong track record at Meta on the Integrity Response Platform—leading geo-blocking actioning, migrating high-priority decisioning flows, and mentoring new hires—and more recently has worked on serverless AWS tooling and extensions at Datadog using Rust, Python and TypeScript. His background spans production services, compliance-driven features, and developer-facing platforms, combining deep systems thinking with practical delivery. Pursuing advanced study in Generative AI and LLMs at Carnegie Mellon, he pairs classical distributed-systems expertise with emerging AI knowledge, making him well suited for roles at the intersection of platform engineering and applied ML.
code11 years of coding experience
job5 years of employment as a software developer
bookComputer Science, Computer Science at National Taiwan University
bookBachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Xi'an Jiaotong University
bookOnline Graduate Certificate, Generative AI & Large Language Models, Online Graduate Certificate, Generative AI & Large Language Models at Carnegie Mellon University
languagesChinese, English
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Github Skills (53)

monitoring10
debugging10
lambda-functions10
hugo10
observability10
continuous-integration10
distributed-tracing10
aws-lambda10
aws-lambda-layer10
go10
apm-agent10
profiling10
datadog10
lambda10
serverless-plugin10

Programming languages (7)

TypeScriptHCLC++RustJavaScriptGoPython

Github contributions (5)

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CDK construct library to automagically instrument your Lambda functions with Datadog
Contributions:14 releases, 76 reviews, 154 PRs in 1 year 8 months
datadoglambdalambda-functions
lym953/covid-19

Mar 2020 - Apr 2020

US County level historical data for COVID-19
Contributions:20 pushes, 12 branches in 15 days
county-levelhistoricalhistorical-datacounty
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