Grégory Starck
Senior Software Engineer Consultant at University of Colorado Denver
Montreal, Quebec, Canada
Summary
🤩
Rockstar🎓
Top SchoolGrégory Starck is a pragmatic senior software engineer and consultant with 17+ years of experience delivering robust, production-grade systems across Linux, embedded, and VFX pipelines. He is a seasoned Python and C developer (10+ years) who also brings strong C++ and advanced Debian-based sysadmin skills, routinely improving performance and CI/CD for complex, multi-process pipelines. His background spans hardware bring-up, DevOps, and monitoring frameworks—he’s contributed backend fixes to the Shinken monitoring project—so he excels at both low-level optimization and high-level lifecycle practices. Grégory is comfortable across containers (Docker), orchestration (Ansible), databases (MySQL/Postgres), and messaging (Redis/RabbitMQ), and often serves as Python lead and mentor on teams. Notably, he combines deep hands-on coding with practical tooling and process improvements—writing unit tests, automating delivery, and reducing tech debt—to make systems more maintainable and efficient. Based in Montreal, he thrives in cross-disciplinary environments where pragmatism and rapid problem-solving matter most.
16 years of coding experience
21 years of employment as a software developer
Master Computer Science, Master Computer Science at University of LiègeMath-Sciences, Math-Sciences at Institut Saint-Remacle
English, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
refactoring10
python10
refactor10
testing10
algorithms9
optimization9
optimisation9
numerical-optimization9
algorithm9
code-optimization9
Programming languages (9)
Github contributions (5)
shinken-solutions/shinken
Dec 2010 - Apr 2015
Flexible and scalable monitoring framework
Role in this project:
Back-end Developer
Back-end DeveloperContributions:228 commits, 52 PRs, 14 pushes in 4 years 4 months
Contributions summary:Grégory primarily contributed to improving the Shinken monitoring framework by modifying code logic and tests within Python files. Their work involved refactoring code to use more efficient Python idioms like "X in (val1, val2)" and simplifying conditional statements. They also focused on fixing logic tests and improving the overall code readability and maintainability.
scalablemonitoring-frameworkmetricsmonitoringflexible
gst/influxdb
Feb 2015 - May 2015
Contributions:31 pushes, 4 tags in 2 months
real-time-analyticsscalableanalyticseventsdatastore
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