Jonathan Bechtel is a Lead AI Engineer in New York with 11 years of experience building data-driven products, infrastructure, and teams across EdTech, finance, and consulting. He blends hands-on machine learning and data engineering with product leadership—having managed 17 people and defined roadmaps that translate C-suite goals into sprint-level deliverables. He has led deployments of ML models and data platforms on AWS, driven release and QA practices, and helped commercialize LLM-powered CoPilot services for personalized education. An active open-source contributor and sktime Community Council member, he has improved time-series ML documentation and added datasets to a widely used library. Trained at Georgia Tech, he pairs rigorous analytics training with practical experience turning complex data into operational business value.
11 years of coding experience
8 years of employment as a software developer
Master of Science - MS Analytics, Master of Science - MS Analytics at Georgia Institute of Technology
Bachelors of Science Nutrition, Bachelors of Science Nutrition at The Ohio State University
A unified framework for machine learning with time series
Role in this project:
Data Scientist & Technical Writer
Contributions:1 commit, 9 PRs, 36 comments in 1 day
Contributions summary:Jonathan primarily contributed to the documentation of the `sktime` library, adding examples and missing import statements to docstrings. They updated docstrings for various distance functions, the `ColumnConcatenator` transformer, and the `temporal_train_test_split` function, making them more user-friendly. In addition, the user added the Tecator dataset to the repository for time series regression, showcasing their work with datasets.
Official Class Github Repo General Assembly's Part Time Data Science Class, starting at 11-15
Contributions:48 PRs, 103 pushes, 1 branch in 2 months
pythonsciencedata-scienceedxscientific-computing
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