Merritt Kowaleski
Research Programmer at CMU Auton Lab
Pittsburgh, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolMerritt Kowaleski is a research programmer at CMU’s Auton Lab with eight years of experience building robust, maintainable machine learning software in Python. They focus on automated ML tooling (AutonML) and prioritize extendable codebases, clear documentation, and reproducible examples using Sphinx and Jupyter Notebooks. Past roles span data science and research positions where they combined Java, R, PostgreSQL, and shell scripting to prototype tools, optimize query execution, and produce interactive visualizations for real-world stakeholders. Comfortable bridging research and production, Merritt has a BS in Mathematics from Carnegie Mellon and a track record of making experimental systems more usable and auditable for collaborators.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Carnegie Mellon University
Github Skills (26)
hint10
deepar9
forecasting9
predictive8
time-series8
user-friendly8
arima7
pytorch7
prophet7
machine-learning7
ets7
deep-learning7
scalable7
transformer7
forecast6
Programming languages (2)
Github contributions (5)
autonlab/pmx_data
Aug 2022 - Jan 2023
Documentation and code for predictive maintenance data and assess scripts.
Contributions:1 PR, 97 pushes, 3 branches in 4 months
pythonpredictive-maintenancepredictiveassessmaintenance
merrittkowaleski/merrittkowaleski.github.io
Nov 2022 - Jul 2024
Contributions:10 pushes, 1 branch in 1 year 8 months
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