Niels Bantilan
Chief Machine Learning Engineer at Union.ai
Atlanta, Georgia, United States
Summary
🤩
Rockstar🎓
Top SchoolNiels Bantilan is a Chief Machine Learning Engineer with 12 years of experience building production ML systems and open-source tooling that boost data and ML practitioner productivity. Based in Atlanta, he leads engineering and documentation efforts at Union.ai while contributing significant integrations and developer UX improvements to Flyte, including a Pandera plugin for schema-validated Pandas workflows. His background spans end-to-end ML productization—from research and data validation libraries (pandera) to orchestration (flyte) and generative audio tooling—reflecting strengths in backend, DevOps, and technical writing. He brings cross-disciplinary rigor from an MPH in Sociomedical Science and hands-on lab and product roles, pairing scientific discipline with pragmatic software craft. An engaging communicator, he obsessively improves docs and developer experience, turning complex infrastructure into accessible developer workflows.
12 years of coding experience
9 years of employment as a software developer
Master of Public Health (M.P.H.), Sociomedical Science, Master of Public Health (M.P.H.), Sociomedical Science at Columbia University Mailman School of Public HealthBachelor of Arts (B.A.), Biology, Dance, Bachelor of Arts (B.A.), Biology, Dance at Oberlin CollegeHigh School Diploma, High School Diploma at Kodaikanal International School
English
Stackoverflow
149reputation
9kreached
4answers
0questions
Github Skills (34)
flyte10
data-validation10
datatypes10
python10
dataframes10
pandas10
audio-processing10
user-interface10
rs10
dataframe10
gradio10
sdk10
documentation10
cicd9
user-guide9
Programming languages (15)
Github contributions (5)
unionai-oss/pandera
Oct 2018 - Jan 2023
A light-weight, flexible, and expressive statistical data testing library
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:111 releases, 466 reviews, 406 commits in 4 years 3 months
Contributions summary:Niels implemented the initial functionality for data validation using Pandas data structures, creating the core classes like `DataFrameSchema`, `SeriesSchema`, and `Column`. They also defined the `PandasDtype` enum to support different data types and implemented a flexible validation framework with various checks and options. Further contributions include creating a custom decorator, `@validate_dataframe_arg`, to simplify validating dataframes within functions, adding support for index validation and data type coercion for the Pandas schema.
data-checkpolarsdata-assertionstesting-toolstesting-library
flyteorg/flyte
Mar 2021 - Jan 2023
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
Role in this project:Technical Writer
Technical WriterContributions:140 reviews, 53 commits, 129 PRs in 1 year 9 months
Contributions summary:Niels primarily focused on updating and streamlining the documentation for the Flyte platform. Their contributions involved rewriting sections, adding links to tutorials, and correcting text in various guides such as those for getting started and deployment. The user added and enhanced the documentation related to the Flytekit tutorials and APIs. They also updated the documentation theme and reorganized content for improved readability and navigation.
pythondatamission-criticalgrpcproduction-grade
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