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.
Integrate cutting-edge LLM technology quickly and easily into your apps
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