Resident Expert (AI House) at https://www.linkedin.com/company/ai2incubator/
Seattle, Washington, United States
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Summary
👤
Senior
🎓
Top School
Keith Trnka is a seasoned machine learning and NLP engineer with 14 years of experience building products that improve how people work, notably in healthcare and consumer software. He has led and grown cross-functional ML teams, shipping production models and full-stack features that materially reduced clinician workload and scaled to hundreds of thousands of patients. As Director of Data Science at 98point6 he combined ML, MLOps, and operational rigor—mentoring teams through Terraform, DVC, GitHub Actions, and AWS—to move prototypes into stable services. He’s equally comfortable prototyping research ideas and diving into product code, having shipped on-device language models used by millions and contributed tests to popular open-source tools like Locust. Now based in Seattle, he’s mentoring early-career engineers, co-founding a stealth startup, and serving as Resident Expert at AI House, blending hands-on engineering with people-first leadership. Colleagues describe him as pragmatic and curious, someone who measures impact by the real-world relief his work provides.
14 years of coding experience
11 years of employment as a software developer
Ph.D. Computer and Information Sciences, Ph.D. Computer and Information Sciences at University of Delaware
BS Computer Science, BS Computer Science at The College of New Jersey
Contributions summary:Keith contributed to the testing framework by implementing and adding tests for custom command-line arguments within the Locust framework. This involved writing tests to verify the correct behavior of dropdowns in the web UI when choices are provided for command-line arguments. Furthermore, the user modified existing tests to ensure specific functionality, like validating the correct behavior of the test suite when custom arguments are defined and passed. These additions ensure the robustness and reliability of the Locust user interface.
MLOps example with AWS Lambda, Docker, CDK, Github Actions, and DVC
Contributions:75 commits, 20 PRs, 26 pushes in 7 months
watsonaws-lambdacmldockermlops
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