Niels Bantilan
Niels is a machine learning engineer and core maintainer of Flyte, creator of UnionML, creator of Pandera, a data testing tool for dataframe-like objects.
He has a Masters in Public Health with a specialization in sociomedical science and public health informatics, and prior to that a background in developmental biology and immunology.
His research interests include reinforcement learning, AutoML, creative machine learning, and fairness, accountability, and transparency in automated systems. He enjoys developing open source tools to make data science and machine learning practitioners more productive.
Sessions
MLOps encapsulates the discipline of – and infrastructure that supports – building and maintaining machine learning models in production. This tutorials highlight four challenges in carrying this out effectively: scalability, data quality, reproducibility, recoverability, and auditability. As a data science and machine learning practitioner, you’ll learn how Flyte, an open source data- and machine-learning-aware orchestration tool, is designed to overcome these challenges and you'll get your hands dirty using Flyte to build ML pipelines with increasing complexity and scale!