Christian Perone
Staff Machine Learning Research Engineer (Research Team, Autonomous Vehicles) at Woven by Toyota
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolChristian Perone is a Staff Machine Learning Research Engineer with 16 years of experience, currently advancing autonomous vehicle research at Woven by Toyota after helping scale Lyft Level 5’s machine-learned driving stack. He blends deep academic training in deep learning and biomedical engineering (MSc, École Polytechnique de Montréal, 4.0 GPA) with hands-on production ML engineering across industry R&D roles at HP, Jungle, and startups. Christian contributes to open source—work on L5Kit added a collision detection metric and vectorized evaluation for autonomous planning, and his documentation leadership on MedicalTorch improves accessibility for medical imaging researchers. He’s equally comfortable shipping UI and integration fixes as a full-stack contributor (e.g., Circus web improvements) and shaping core ML metrics that directly affect vehicle safety evaluation. Based in London, he combines rigorous research instincts with practical software craftsmanship to move models from prototype to production.
16 years of coding experience
15 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universidade de Passo FundoMaster's degree, Deep Learning / Biomedical Engineering, GPA 4.0/4.0, Master's degree, Deep Learning / Biomedical Engineering, GPA 4.0/4.0 at École Polytechnique de Montréal
Stackoverflow
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100answers
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neural-network
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Github Skills (39)
unit-testing10
pytorch10
ip-address10
javascript10
ssl10
restructuredtext10
python10
sphinx10
machine-learning10
proxy10
autonomous-vehicles10
tcp10
computer-vision10
web-development10
nginx10
Programming languages (12)
Github contributions (5)
perone/medicaltorch
Apr 2018 - Nov 2018
A medical imaging framework for Pytorch
Role in this project:
Technical Writer & Documentation Specialist
Technical Writer & Documentation SpecialistContributions:1 release, 47 commits, 12 PRs in 7 months
Contributions summary:Christian primarily focused on improving and updating the project's documentation. They added and modified documentation files, including examples, the changelog, and the "get started" guide. Their contributions also included fixing issues related to documentation mocking and updating the Sphinx configuration. This effort enhances the project's usability and maintainability by making it easier for others to understand and contribute.
pytorchpythondeep-learningcomputer-visionmachine-learning
woven-planet/l5kit
Jan 2021 - Nov 2022
L5Kit - https://woven.toyota
Role in this project:ML Engineer
ML EngineerContributions:193 reviews, 39 commits, 44 PRs in 1 year 9 months
Contributions summary:Christian integrated a collision detection metric, incorporating functions for bounding boxes, sides, and collision detection. They refactored code to support vectorization, added unit tests, and removed a dilation option. The changes included modifications to the metrics and planning utility files, directly impacting the evaluation of the autonomous vehicle's performance, which is core to the repository's goals.
planningautonomous-vehiclesmachine-learningself-driving
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