Christopher Suchanek
Staff Engineer at Amazon
Redmond, Washington, United States
Summary
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Rockstar🎓
Top SchoolChristopher Suchanek is a Staff Engineer with 12 years of experience building and leading production ML and backend systems across major tech firms including Amazon, Meta, and Salesforce. He blends hands-on Scala and Python engineering with technical leadership, having led teams and driven ML/modeling work on products such as Einstein Platform and ad relevancy systems. An emphasis on quality shows in his open-source QA contributions to TransmogrifAI, where he improved testing for an AutoML Spark library used widely in enterprise ML workflows. Based in Redmond, he brings a systems-oriented background from robotics and automation studies to reliably ship scalable, testable solutions across cloud-native stacks.
12 years of coding experience
14 years of employment as a software developer
Bachelor of Engineering (B.E. MS) Automatic and Robotics, Bachelor of Engineering (B.E. MS) Automatic and Robotics at Poznan University of Technology
English, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
scala10
apache-spark10
testing10
automl9
automated-machine-learning9
machine-learning9
feature-engineering8
Programming languages (11)
Github contributions (5)
salesforce/TransmogrifAI
Apr 2019 - May 2020
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:1 review, 14 commits, 30 PRs in 1 year
Contributions summary:Christopher primarily focused on enhancing and creating tests within the repository. Their contributions involved improving existing test specifications and building new tests for various components, specifically `OpTransformerSpec` and `OpCollection*`. The code changes included modifications to test files related to feature transformations and vectorization, suggesting a strong emphasis on testing the functionality and behavior of the library's core features. Through these commits, the user played a crucial role in ensuring the quality and reliability of the machine-learning workflows built with TransmogrifAI.
pythonsalesforcetransformationstransmogrifyestimators
wsuchy/qshuf
Oct 2018 - Nov 2021
A tool for shuffling rows in file that doesn't load the input into the memory
Contributions:2 PRs, 3 pushes, 2 branches in 3 years 1 month
memoryshufflingrows
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