Michał Augoff
Senior Staff Machine Learning Engineer at HelloFresh
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolMichał Augoff is a Senior Staff Machine Learning Engineer based in New York with 11 years of experience building end-to-end ML products and MLOps infrastructure, primarily at HelloFresh. He combines hands-on modeling (CatBoost, XGBoost, TensorFlow) with production engineering—designing pipelines in PySpark, Databricks, Airflow/Prefect and automating deployments via Terraform, Docker and GitHub Actions. His background spans applied research in bioinformatics and deep learning—publishing in Bioinformatics and translating research prototypes into production systems—bringing a rare bridge between academic rigor and production reliability. Known for leading growth and marketing ML initiatives, he focuses on scalable experimentation, data-driven acquisition models, and operationalizing models at scale. Outside core ML work he has engineered denoising autoencoders for sensitive tabular data and built internal experimentation frameworks, reflecting a pragmatic curiosity for both privacy-aware modeling and robust tooling.
11 years of coding experience
10 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Wrocław University of Science and Technology
Polish, English
Github Skills (61)
apache-spark10
observability10
evaluation10
langchain10
open-source10
machine-learning10
model-management10
mlflow10
ml10
prompt-engineering10
mlops10
openai10
llmops10
ai10
mlmodel10
Programming languages (7)
Github contributions (5)
Ewande/khepera
Feb 2015 - Oct 2018
Khepera simulation framework
Contributions:1 release, 85 commits, 2 PRs in 3 years 9 months
simulation-framework
Ewande/kheppy
Mar 2017 - Feb 2020
Python API with evolutionary computation and reinforcement learning algorithms for Khepera simulation engine
Contributions:2 PRs, 31 pushes, 4 branches in 3 years
computationapievolutionary-computationpythonreinforcement-learning-algorithms
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