Stefan Krawczyk

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I am a data focused, polymath engineer capable of working on many parts of the stack. Currently, my interests have focused on design, implementation & peer education of data related systems. E.g. event tracking, A/B testing, data analysis, and machine learning. I enjoy being on a cutting edge engineering team work on interesting and challenging problems. I also like to philosophize on company management and culture creation. I also think I have what it takes to be a good leader in a tech. company.

data science stitch fix big data mlops python data engineering data ecs docker hive metastore data warehouse s3 scaling pandas etl open source framework analytics software development kafka consumer platform kafka model inference microservices machine learning dags featurization timeseries modeling monitoring debugging web applications json logging structured logs

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Stefan Krawczyk

Präsentationen

Data Day Texas 2017: Scaling Data Science at Stitch Fix

Data Day Seattle 2017: Scaling Data Science at Stitch Fix

Why you should be using structured logs

"Deployment for free": removing the need to write model deployment code at Stitch Fix

Enabling Data Scientists to easily create and own Kafka Consumers

[open source] hamilton, a micro framework for creating dataframes, and its application at stitch fix

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Hopsworks Feature Store 2.0 a new paradigm

Graphs in the Database: Rdbms In The Social Networks Age

Trees In The Database - Advanced data structures

Learned Embeddings for Search and Discovery at Instacart

Data Day Texas 2017: Scaling Data Science at Stitch Fix

Deep Dive: Amazon Elastic MapReduce

Computing with Affective Lexicons: Computational Linguistics Tutorial with Dan Jurafsky

The Wisdom of David Henke

Building Your Data Warehouse with Amazon Redshift

U.S. Technology Funding -- What's Going On?

Special Q&A Webinar with Facebook's Katie Harbath and GSM CEO Kristy Dalton

(Berkeley CS186 guest lecture) Big Data Analytics Systems: What Goes Around Comes Around

SF Big Analytics: Machine Learning with Presto by Christopher Berner