Evan Chaki
GM, Transformation
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolEvan 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.
8 years of coding experience
12 years of employment as a software developer
B.S. B.A., MIS, B.S. B.A., MIS at Auburn University
Github Skills (9)
artificial-intelligence10
sdk10
openai10
ai10
llm10
powerapps9
semantic-kernel6
programming-language4
large-language-models4
Programming languages (5)
Github contributions (5)
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 - Apr 2025
Integrate cutting-edge LLM technology quickly and easily into your apps
Contributions:6 reviews, 1 push, 254 comments in 2 years
llmaiartificial-intelligenceopenaisdk
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