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 in San Francisco with 12 years of experience building high-performance visualization and ML systems for autonomy and robotics. At Aurora she has grown from engineering manager to director, leading teams that deliver 3D visualization platforms, simulation tooling, and web developer productivity tools that accelerate the Aurora Driver program. Her background blends hands-on full‑stack and ML engineering—contributions to projects like Numenta’s nupic-legacy and the streetscape.gl visualization framework show deep expertise in time-series ML and real-time WebGL visualizations. A serial founder and early organizer of NeuroTechX, she pairs startup grit with enterprise leadership and a track record of shipping greenfield products across Electron, React, Python and cloud-native stacks. Colleagues describe her as a pragmatic technical leader who still dives into core bug fixes and performance tooling when it matters.
12 years of coding experience
12 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at CentraleSupélecMaster of Science - MS Electrical and Computer Engineering, Master of Science - MS Electrical and Computer Engineering at Georgia Institute of Technology
English, French
Github Skills (15)
data-visualizations10
data-visualization10
data-visualisation10
javascript10
python10
react10
performance-monitoring9
cortex9
machine-learning9
artificial-intelligence9
robotics9
architecture8
architectures8
front-end-development8
debugging7
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.
roboticsvisualizationdata-visualization
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.
hierarchical-temporal-memoryneocortexartificial-intelligencemachine-intelligence
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