Kevin Orellana

Software Development Engineer II At AWS Agentic AI at Amazon Web Services (AWS)

Seattle, Washington, United States
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Summary

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Kevin Orellana is a software engineer with nine years of experience building large-scale cloud infrastructure and GenAI runtime systems at AWS, currently focused on agentic AI runtime tools that enable LLMs to execute code and orchestrate workflows. He has led launches and technical design for model hosting and scaling—most notably driving Anthropic Claude Sonnet 3.7 into production, GovCloud, and voice-integration work—while also authoring capacity management and observability patterns for multi-model inference. Kevin blends systems-level engineering (CloudWatch, cross-account log sharing, region launches) with developer-facing orchestration features, making complex AI stacks easier to operate and trust. Based in Seattle, he pairs hands-on implementation and mentoring experience with cross-org coordination on security and operational readiness, and he often surfaces pragmatic solutions that bridge research-grade models to production constraints.
code9 years of coding experience
job7 years of employment as a software developer
bookHigh School, High School at Fort Hamilton High School
bookBachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at NYU Shanghai
bookIntensive C Level Chinese Program Chinese Studies, Intensive C Level Chinese Program Chinese Studies at Beijing Language and Culture University
languagesEnglish, Spanish, Chinese
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Stackoverflow

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Github Skills (9)

connections9
java7
imap7
beans7
scale7
nio6
jmx6
annotations6
spec5

Programming languages (1)

Java

Github contributions (5)

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kevinliuyifeng/jmetrics

May 2019 - Jul 2019

Java metrics is a annotations spec to extract metrics out of JMX beans, this code is designed to scale well when using large number of threads and cpus.
Contributions:9 pushes, 37 branches in 2 months
beansannotationsscalespecthreads
kevinliuyifeng/cooking

Apr 2022 - Apr 2022

Contributions:5 pushes in 12 days
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