Quantco/glum
Nov 2024 – May 2026
4 Months active
Languages Used
PythonTOMLYAML
Technical Skills
Object-Oriented ProgrammingBuild AutomationBuild SystemsCI/CDContinuous IntegrationData Engineering
Jan Tilly
PROFILE
Jan Tilly
Worked on the Quantco/glum repository to enhance model reliability, build stability, and compatibility across environments. Focused on Python-based build automation and dependency management, delivering updates that improved CI/CD reproducibility and reduced upgrade risk. Addressed core issues in model inference by correcting statistical formulas and refining object-oriented inheritance for more predictable API behavior. Introduced automated test suites for backwards compatibility, ensuring persistent model artifacts and reliable predictions. Improved test stability in data engineering workflows by refining data type handling. The work demonstrated strong skills in Python, testing, and statistical modeling, resulting in more robust machine learning pipelines and streamlined development processes.
Overall Statistics
Feature vs Bugs
40%Features
Repository Contributions
9Total
Bugs
3
Commits
9
Features
2
Lines of code
20,487
Activity Months4
Your Network
36 peopleWork History
May 2026
2 Commits • 1 Features
May 1, 2026For 2026-05, Quantco/glum delivered stability and compatibility improvements with automated testing and build process enhancements, reducing production risk and enabling smoother upgrades.
2 Commits • 1 Features
May 1, 2026For 2026-05, Quantco/glum delivered stability and compatibility improvements with automated testing and build process enhancements, reducing production risk and enabling smoother upgrades.
May 2026
March 2026
1 Commits
Mar 1, 2026March 2026 – Quantco/glum: Targeted bug fix in CloglogLink improving model inference. Corrected the inverse_derivative2 formula, delivering more accurate observed information matrix and standard errors for cloglog-based models. The change reduces estimation bias in small-sample/edge-case scenarios, enhancing reliability and decision support. Implemented in commit 50d7c2d55e84b2a5100689046d36e1fe8a95654a (Fix inverse_derivative2 for cloglog, #988). This work demonstrates strong numerical methods, testing discipline, and code traceability, with clear business value in model interpretation and risk assessment.
March 2026
1 Commits
Mar 1, 2026March 2026 – Quantco/glum: Targeted bug fix in CloglogLink improving model inference. Corrected the inverse_derivative2 formula, delivering more accurate observed information matrix and standard errors for cloglog-based models. The change reduces estimation bias in small-sample/edge-case scenarios, enhancing reliability and decision support. Implemented in commit 50d7c2d55e84b2a5100689046d36e1fe8a95654a (Fix inverse_derivative2 for cloglog, #988). This work demonstrates strong numerical methods, testing discipline, and code traceability, with clear business value in model interpretation and risk assessment.
September 2025
5 Commits • 1 Features
Sep 1, 2025Summary for 2025-09: Strengthened build environments, CI reliability, and test stability for Quantco/glum. Delivered cross-platform reproducibility improvements and safer dependency upgrades while fixing a core test stability issue in the formulaic module. These efforts reduce flaky builds, accelerate onboarding, and provide a solid foundation for future releases.
5 Commits • 1 Features
Sep 1, 2025Summary for 2025-09: Strengthened build environments, CI reliability, and test stability for Quantco/glum. Delivered cross-platform reproducibility improvements and safer dependency upgrades while fixing a core test stability issue in the formulaic module. These efforts reduce flaky builds, accelerate onboarding, and provide a solid foundation for future releases.
September 2025
November 2024
1 Commits
Nov 1, 2024Month 2024-11 summary for Quantco/glum focusing on reliability and API stability. Completed a critical MRO-order correction in GeneralizedLinearRegressorBase to ensure consistent attribute and method lookups, improving model reliability and downstream stability.
November 2024
1 Commits
Nov 1, 2024Month 2024-11 summary for Quantco/glum focusing on reliability and API stability. Completed a critical MRO-order correction in GeneralizedLinearRegressorBase to ensure consistent attribute and method lookups, improving model reliability and downstream stability.
Activity
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Quality Metrics
Correctness97.8%
Maintainability91.2%
Architecture93.4%
Performance91.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonTOMLYAML
Technical Skills
Build AutomationBuild SystemsCI/CDContinuous IntegrationData EngineeringDependency ManagementLock File ManagementObject-Oriented ProgrammingPackage ManagementPythonTestingbuild automationdata analysisdata sciencedependency management
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