Jake Westfall
Staff Software Engineer, Machine Learning Platform
Austin, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolJake Westfall is a Staff Software Engineer focused on MLOps with 11 years of experience building production-grade ML platforms and data systems from Austin, Texas. He moved from research psychology through data science into platform engineering, bringing a rare combination of statistical rigor and systems thinking to production model deployment. At Waystar he led the shift to fully automated continuous deployment with cohort rollouts and designed a Terraform-like declarative tool for ClearML that enabled safer, version-controlled model ops. He architected platform primitives—monorepos, containerized integration tests, and a high-concurrency Kafka consumer—that reduced toil and made self-service model deployment feasible for data scientists. An active open-source contributor, he co-created and improved the popular Bayesian modeling facade bambi, applying his academic work to practical tooling. Colleagues rely on him as a pragmatic liaison between Data Science and Engineering who turns complex statistical workflows into reliable, auditable production services.
11 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Social Psychology, Doctor of Philosophy - PhD, Social Psychology at University of Colorado BoulderBachelor of Science - BS, Psychology, Bachelor of Science - BS, Psychology at Oklahoma State University
Stackoverflow
650reputation
19kreached
9answers
1question
Github Skills (16)
regression-models10
bayesian10
statistical-models10
python10
bayesian-inference10
jupyter-notebook9
bayesian-statistics9
statistics8
regular-expression8
statistic8
regression6
pymc6
bambi6
lm6
r6
Programming languages (4)
Github contributions (5)
bambinos/bambi
Aug 2016 - Jul 2017
BAyesian Model-Building Interface (Bambi) in Python.
Role in this project:
Back-end Developer / Data Scientist
Back-end Developer / Data ScientistContributions:1 release, 142 commits, 21 PRs in 10 months
Contributions summary:Jake primarily contributed to the development and improvement of the Bayesian Model-Building Interface (Bambi) in Python. Their contributions involved fixing regular expressions for parsing model specifications, implementing default priors for outcome variables, and enabling smart default priors for model terms. These changes included modifications to core model files and the addition of examples in the form of Jupyter Notebooks, demonstrating the application of default priors for various statistical models.
pythonregression-modelsbayesian-inferencemodel-buildingmachine-learning
jake-westfall/pangea
Jun 2016 - Mar 2018
Contributions:1 release, 1 branch, 1 tag in 1 year 9 months
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