Andrew Crozier
Product Engineer at incident.io
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolAndrew Crozier is a product-focused engineer and leader with 11 years of experience building simulation platforms, AI infrastructure, and cross-functional products from MVP to scale. He blends hands-on backend and test automation work—contributing to prominent open-source projects like MLflow—with a track record of managing and growing teams at Faculty and now shaping incident response tooling at incident.io. With a PhD in biomedical engineering and earlier research on personalised cardiac simulation, he brings a rigorous, scientific approach to system design and validation that reduces technical risk. Colleagues rely on him to translate complex domain requirements into maintainable, test-first systems and to ship pragmatic solutions under uncertainty.
11 years of coding experience
11 years of employment as a software developer
Master’s Degree Applied Mathematics and Physics, Master’s Degree Applied Mathematics and Physics at Queen's University BelfastDoctor of Philosophy (Ph.D.) Biomedical Engineering, Doctor of Philosophy (Ph.D.) Biomedical Engineering at King's College London
English
Stackoverflow
165reputation
5kreached
1answer
3questions
Github Skills (16)
terminal-emulator10
mlflow10
pytest10
python10
testing10
co9
pyqt6
hpc6
linux6
model-view-controller6
qt6
linux-kernel6
numa6
model-management5
machine-learning5
Programming languages (11)
Github contributions (5)
selectel/pyte
Aug 2017 - Dec 2017
Simple VTXXX-compatible linux terminal emulator
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:27 commits, 7 PRs, 12 comments in 3 months
Contributions summary:Andrew's primary focus within the repository was on testing and ensuring the correctness of the terminal emulator. They addressed issues related to cursor behavior, history management, and screen display. Their contributions involved modifying existing tests and adding new ones to cover various scenarios, demonstrating a commitment to thorough testing of the terminal's functionality.
emulatorterminal-emulatorlinuxlinux-terminalterminal
mlflow/mlflow
Feb 2019 - Jul 2019
Open source platform for the machine learning lifecycle
Role in this project:Backend Developer & Test Automation Engineer
Backend Developer & Test Automation EngineerContributions:9 commits, 13 PRs, 71 comments in 4 months
Contributions summary:Andrew contributed to adding and improving tests within the `mlflow/mlflow` repository, focusing on testing the tracking store functionalities and fluent API features. Their commits modified test files, introducing new tests for different tracking store configurations and databricks integration. They also made changes to move run information attributes to tags and removed deprecated arguments, signifying a focus on code quality and maintainability within the MLflow framework.
pythonlifecyclemlmachine-learningincremental-learning
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