Rachel Gardner

Machine Learning Engineer at Aurora

Palo Alto, California, United States
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Summary

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Senior
🎓
Top School
Rachel Gardner is a Machine Learning Engineer in Palo Alto with 13 years of hands-on experience building perception and robotics systems, currently developing ML models and production components at Aurora. A Stanford CS BS/MS focused on robotics and AI, she has shipped end-to-end projects from data pipelines to C++/PyTorch model implementations at companies including NVIDIA, BabbleLabs (acquired by Cisco), and Aurora. Early entrepreneurial experience founding Chap Research and inventing a patented Bluetooth robot remote informs her product-minded approach and ability to lead small teams and contractors. Fluent in Mandarin and experienced in AI market research, she combines technical depth in computer vision, NLP, ROS, and embedded systems with a knack for translating research into pragmatic engineering solutions.
code13 years of coding experience
job4 years of employment as a software developer
bookChinese Language, Chinese Language at National Security Language Initiative for Youth (NSLI-Y)
bookValedictorian, Valedictorian at Westlake High School
bookBachelor’s Degree, Computer Science, 4.04, Bachelor’s Degree, Computer Science, 4.04 at Stanford University
languagesEnglish, Chinese
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Github Skills (101)

command-line-interface9
amazon-web-services9
amazon9
aws-cli9
robotics8
webots8
gazebo-simulator8
robot8
aws8
gazebosim8
nodes8
opengl7
audio-classification7
autonomous-robots7
python7

Programming languages (7)

TypeScriptC++TeXJavaScriptJupyter NotebookPythonEmacs Lisp

Github contributions (5)

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ChapResearch/CROMA

Dec 2015 - Aug 2016

Contributions:14 commits, 12 pushes, 1 branch in 7 months
rachel-1/misc-scripts

Sep 2017 - Jul 2023

A collection of various scripts/utilities I've created over the years.
Contributions:2 PRs, 32 pushes, 2 branches in 5 years 11 months
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Rachel Gardner - Machine Learning Engineer at Aurora