Evan Chaki

Semantic Kernel at Microsoft

Redmond, Washington, United States
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Summary

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Rockstar
Evan Chaki is an AI-focused software engineer at Microsoft with eight years of experience, currently working on the Semantic Kernel SDK that bridges traditional languages like C# and Python with LLM-driven prompting, templating, chaining, and planning. Based in Redmond, he focuses on empowering developers to integrate advanced language-model capabilities into production applications for measurable productivity gains. Evan blends product-minded engineering with hands-on SDK development, translating research-era LLM techniques into usable developer primitives. His role implies deep familiarity with prompt engineering patterns and orchestration of multi-step LLM workflows—skills not obvious from a job title alone. He’s experienced shipping developer tooling at scale inside a large cloud platform, balancing robustness with extensibility. That mix of platform-level thinking and practical SDK design helps teams adopt LLM features without reinventing core engineering foundations.
code8 years of coding experience
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Github Skills (9)

prose10
openxml10
artificial-intelligence10
openai10
sdk10
ai10
llm10
documentation8
microsoft8

Programming languages (4)

C#TypeScriptPowerShellMermaid

Github contributions (5)

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evchaki/powerapps-docs

Mar 2019 - Mar 2019

Technical Documentation for Microsoft PowerApps
Contributions:27 pushes, 1 branch in 1 day
technical-documentationopenxmldocumentation-generatorpowershellsolidworks
microsoft/semantic-kernel

Mar 2023 - Feb 2025

Integrate cutting-edge LLM technology quickly and easily into your apps
Contributions:5 reviews, 1 push, 254 comments in 1 year 11 months
aiartificial-intelligencellmopenaisdk
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Evan Chaki - Semantic Kernel at Microsoft