Chris Pickett
Staff Engineer at Prefect
Osceola, Indiana, United States
Summary
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RockstarChris Pickett is a Staff Engineer with 12 years of software development experience, currently shaping core workflow orchestration at Prefect. He has a history of senior technical leadership across media and healthcare tech, including Principal roles at O'Reilly Media and Honor, and long-term systems work dating back to a decade-long lead developer role. Chris focuses on resilient backend systems, contributing to core engine functionality at Prefect (task mapping, flow run management, interruptible execution) and building robust Python tooling like photohash with tests and PyPI packaging. He combines production-grade engineering discipline with a strong emphasis on code quality, documentation, and developer ergonomics. Based in rural Indiana, he brings enterprise-scale experience to open source projects and practical package distribution—skills that bridge internal platform stability and public-facing libraries.
12 years of coding experience
21 years of employment as a software developer
English
Stackoverflow
2,822reputation
635kreached
35answers
0questions
javascript
top-5%
Github Skills (18)
algorithm10
algorithms10
prefect10
python10
image-processing10
data-engineering10
testing10
orchestration10
orchestra10
javascript9
slidedown6
geolocation6
css6
href6
beautifulsoup6
Programming languages (7)
Github contributions (5)
bunchesofdonald/photohash
Aug 2013 - Jul 2019
A Python Perceptual Image Hashing Module
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 46 commits, 7 PRs in 5 years 11 months
Contributions summary:Chris primarily focused on developing and refining the `photohash` module, a Python library for perceptual image hashing. They implemented core functionalities such as calculating the average hash, determining hamming distance, and checking for image similarity. The user refactored the code, added documentation, and prepared the project for distribution via PyPI, demonstrating a focus on code quality, functionality, and package management. They also included unit tests for verifying the accuracy of the image hashing algorithms.
hashingphashpythonperceptualimage-processing
PrefectHQ/prefect
Jun 2022 - Jan 2023
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Role in this project:Back-end Developer
Back-end DeveloperContributions:13 releases, 638 reviews, 185 commits in 7 months
Contributions summary:Chris primarily contributed to the core workflow orchestration framework of Prefect. Their work included implementing features related to script loading, deployment specifications, task mapping, and flow run management. Additionally, they addressed reliability issues by adding best-effort interruption of tasks and ensuring flows are called in interruptible threads. The user's changes touched on core engine functionality.
pythondataobservabilityml-opsdataflow
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