Stefan Krawczyk
Principal CEO at Dagworks
Georgetown, Texas, United States
Summary
🤩
Rockstar🎓
Top SchoolStefan Krawczyk is a data-focused engineering leader and CEO with 11+ years building production ML and data platforms, currently leading DAGWorks to deliver an open-core MLOps platform inspired by directed acyclic graphs. He previously led model lifecycle and centralized featurization efforts at Stitch Fix, designing tooling for model artifacts, A/B testing, and back-testing used by hundreds of data scientists. A polymath engineer, Stefan is fluent in Python and comfortable across JVM, Go, Spark, Kafka and many legacy languages, and contributes to open-source projects like Hamilton—improving dataflow visualization and GeoPandas support. He blends hands-on implementation with product-minded platform strategy, cares deeply about team culture and humble leadership, and enjoys philosophizing about management as much as solving hard technical problems. Based in Georgetown, Texas, he holds an MS in Computer Science from Stanford and a BS from Victoria University of Wellington.
11 years of coding experience
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Victoria University of WellingtonMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Stanford University
Github Skills (15)
dataframes10
pandas10
python10
data-science10
dataframe10
data-engineering10
data-analysis10
graphviz9
visualizations9
data-pipelines9
data-pipeline9
visualization9
etl9
geopandas8
documentation7
Programming languages (13)
Github contributions (5)
DAGWorks-Inc/hamilton
Jan 2023 - Mar 2023
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Role in this project:
Data Engineer
Data EngineerContributions:60 releases, 1058 reviews, 66 commits in 1 month
Contributions summary:Stefan made several changes to enhance the visualization capabilities of driver functions within the Hamilton dataflow framework, enabling the rendering of the DAG in notebooks. These changes included modifying driver functions to return a graphviz object, making file saving optional, and updating example notebooks to reflect these changes. The user also addressed a comment and reference for visualization install instructions for the framework, and explicitly added support for GeoPandas dataframes. These updates suggest contributions towards improving the usability and adaptability of the Hamilton framework for different data-related contexts.
dagdata-analysisdata-engineeringdata-sciencedataframe
stitchfix/hamilton
Jul 2019 - Jan 2023
A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton
Contributions:12 releases, 356 reviews, 307 commits in 3 years 6 months
micro-frameworkpythonml-modelspolarsdag
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