Jordan Henkel
AI ML Researcher at Sema4.ai
Madison, Wisconsin, United States
Summary
🤩
Rockstar🎓
Top SchoolJordan Henkel is an AI/ML researcher with nine years of experience bridging research and production-grade engineering, currently developing enterprise AI agents at Sema4.ai. He holds a Ph.D. in Computer Science from UW–Madison and spent multiple summers and staff roles at Microsoft, where he worked on “data science on code” and systems-focused ML research. Jordan contributes to prominent open-source projects—most notably enhancing the Python port of Microsoft's semantic-kernel to parity with its C# implementation, adding ChatGPT and Azure OpenAI support and improving test coverage. Based in Madison, WI, he blends deep academic rigor with practical backend engineering, often translating research prototypes into robust developer tooling. Notably, his work has been funded and recognized through competitive grants and a Microsoft Research Ph.D. Fellowship, signaling strong peer validation of his research impact.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Wisconsin-MadisonBachelor's degree, Mathematics and Computer Science, Bachelor's degree, Mathematics and Computer Science at Saint Norbert College
Github Skills (12)
sdk10
python10
ai10
llm10
azure-openai9
openai-api9
api8
unit-testing8
apidoc8
unit-test8
pytest8
software-design7
Programming languages (6)
Github contributions (5)
microsoft/semantic-kernel
Mar 2023 - Apr 2023
Integrate cutting-edge LLM technology quickly and easily into your apps
Role in this project:
Back-end Developer
Back-end DeveloperContributions:37 reviews, 12 PRs, 65 comments in 1 month
Contributions summary:Jordan primarily focused on enhancing the Python port of the `semantic-kernel` repository, bringing it up to parity with the C# version. Their work included upgrading the `PromptTemplateEngine`, ensuring functionality matched the C# implementation while striving for more idiomatic Python code. They also introduced support for the ChatGPT API and Azure OpenAI services, and removed the `Verify` class while re-writing its functions. The user contributed to updating the test suite and improving the project's structure.
aiartificial-intelligencellmopenaisdk
jjhenkel/code-vectors-artifact
Feb 2018 - Jun 2020
Artifacts and other data for "Code Vectors: Understanding Programs Through Embedded Abstraced Symbolic Traces"
Contributions:4 releases, 62 commits, 15 pushes in 2 years 3 months
tracesunderstandingvectorsartifactsprograms
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