Max Rakitin
Data Acquisition & Detectors Group Leader At NSLS-II
Town of Brookhaven, New York, United States
Summary
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Rockstar🎓
Top SchoolMax Rakitin is a Data Acquisition & Detectors Group Leader at NSLS-II with a decade of experience building scientific software and instrumentation control systems using Python, MATLAB, Fortran, C++, and shell tooling. He progressed through research and computational scientist roles at Brookhaven National Laboratory, pairing hands-on detector and DAQ engineering with team leadership and CI/CD improvements. Max contributes to notable open-source infrastructure—helping harden conda-forge’s CI/CD pipelines—which reflects a practical DevOps mindset applied to scientific software delivery. He holds a PhD from South Ural State University and brings a background spanning academic research, postdoctoral science, and industrial QA leadership. Known for translating complex experimental requirements into reliable, automated acquisition systems, he balances deep technical expertise with laboratory operations insight.
10 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at South Ural State University (SUSU)
English, Russian
Stackoverflow
11reputation
339reached
1answer
0questions
Github Skills (10)
azure-pipelines10
conda-forge10
continuous-integration10
python10
cicd10
yaml9
appveyor9
recursion6
iteration6
fest3
Programming languages (20)
Github contributions (5)
conda-forge/conda-smithy
Jul 2019 - Jul 2020
The tool for managing conda-forge feedstocks.
Role in this project:
DevOps Engineer
DevOps EngineerContributions:12 commits, 4 PRs, 23 comments in 11 months
Contributions summary:Max's contributions primarily focus on enhancing the CI/CD pipeline and configuration management for the conda-forge project. This includes adding tests related to "upload_on_branch" functionality for Azure and Appveyor, and modifying Azure pipeline image versions. They also updated the code to include the name of the feedstock for the anaconda token update command, and performed a code style cleanup. Additionally, they've added and modified news entries to reflect changes in the CI/CD and token update process.
conda-forgecondagocdcontinuous-integrationtravis-ci
conda-forge/xraylarch-feedstock
Aug 2021 - Feb 2025
A conda-smithy repository for xraylarch.
Contributions:12 reviews, 19 PRs, 8 pushes in 3 years 6 months
pythoncondasmithy
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