Marion Le Borgne
Director Of Software Engineering at Aurora
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMarion Le Borgne is a Director of Software Engineering at Aurora with 11 years of experience building high-performance visualization and ML systems for autonomy. She leads teams that deliver WebGL/3D visualization platforms, simulation tooling, and web developer tools used to understand and validate self-driving systems. A former ML researcher and active open-source contributor, she has hands-on commits to Numenta’s HTM implementation and feature work on streetscape.gl, including performance debug panels and loader refactors. She co-founded two startups and grew NeuroTechX into an international organization, shipping greenfield products across Electron/React frontends, serverless backends and ML pipelines. Her background spans academia-to-production—contributing to anomaly-detection patents and translating research into developer-facing, production-grade systems.
11 years of coding experience
12 years of employment as a software developer
Master of Science - MS, Electrical and Computer Engineering, Master of Science - MS, Electrical and Computer Engineering at Georgia Institute of TechnologyMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at CentraleSupelec
English, French
Github Skills (18)
data-visualizations10
javascript10
python10
data-visualisation10
javascripts10
data-visualization10
react10
artificial-intelligence9
robotics9
cortex9
machine-learning9
performance-monitoring9
architectures8
frontend-development8
front-end-development8
Programming languages (7)
Github contributions (5)
aurora-opensource/streetscape.gl
Feb 2019 - Mar 2021
Visualization framework for autonomy and robotics data encoded in XVIZ
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:3 reviews, 15 commits, 11 PRs in 2 years
Contributions summary:Marion contributed significantly to the `streetscape.gl` project by adding new features and improving existing ones. They introduced a debug panel with performance metrics, including log viewer and worker farm status displays. They also refactored loader interfaces and made other core-level improvements.
roboticsencodedautonomydata-visualizationvisualization-framework
numenta/nupic-legacy
Aug 2015 - Apr 2017
Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
Role in this project:Back-end Developer / ML Engineer
Back-end Developer / ML EngineerContributions:36 commits, 11 PRs, 83 comments in 1 year 8 months
Contributions summary:Marion primarily contributed to the `nupic-legacy` repository by fixing bugs and improving the functionality of the core components. Their commits demonstrate a focus on refining the CLAClassifierRegion, addressing issues related to multi-step prediction and multi-class input support. They also made modifications to the CLAClassifier and TP_shim.py files.
htmmemoryneurosciencedeep-learninghierarchical
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