Phil Ferriere
Principal Engineer - Deep Learning Computer Vision at Outrider
Palm Springs, California, United States
Summary
🤩
Rockstar🎓
Top SchoolPhil Ferriere is a Principal Engineer specializing in deep learning and computer vision with 11+ years of experience building production perception systems for autonomous vehicles and industrial automation. He has led development of real-time LiDAR 3D detectors, motion estimators, and vision-based tracking at Cruise and Outrider, turning research ideas into deployed models that eliminated safety incidents. A prolific open-source contributor, he maintains Windows- and Python3-friendly COCO tooling and co-authored HiddenLayer, a popular library for visualizing neural nets and training metrics. Phil’s background spans low-level C++ media and codec work at Microsoft through modern TensorFlow implementations of SOTA CV papers, and he pairs strong engineering pragmatism with reproducible research practices. Based in Palm Springs, he also brings an unusual creative perspective from a screenwriting fellowship and film production experience that inform his communication and problem-framing skills.
11 years of coding experience
16 years of employment as a software developer
Data Mining Specialization, Cloud Computing Specialization, Data Science Specialization, Data Mining Specialization, Cloud Computing Specialization, Data Science Specialization at CourseraAI Nanodegree, Deep Learning, Certification, AI Nanodegree, Deep Learning, Certification at UdacityMaster's degree, Computer Science, Master's degree, Computer Science at Polytech'NantesUniversity of California, Los AngelesComputer Science, Computer Science at University of Waterloo
English, French
Github Skills (16)
object-detection10
keras10
pytorch10
visualization10
deep-learning10
tensorflow10
visualizations10
python10
numpy9
cython9
shutil8
jupyter-notebook8
pkzip8
zip8
unzip8
Programming languages (3)
Github contributions (5)
philferriere/cocoapi
Nov 2017 - Oct 2018
Clone of COCO API - Dataset @ http://cocodataset.org/ - with changes to support Windows build and python3
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:16 commits, 2 PRs, 15 pushes in 11 months
Contributions summary:Phil primarily contributed to fixing build issues and ensuring compatibility for the COCO API, including adjustments for Windows builds and Python 3. They also updated documentation related to the setup process, providing clear instructions. Furthermore, the user moved and updated demo Python notebooks for the project, demonstrating a focus on user experience and code maintainability.
apidataset-apiwindowscocodataset
waleedka/hiddenlayer
Jun 2018 - Dec 2018
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:25 commits, 5 pushes, 4 comments in 6 months
Contributions summary:Phil appears to be involved in setting up and expanding the functionality of the `hiddenlayer` library. They added setup files and made code cleanups, specifically focusing on integrating support for TensorFlow. Additionally, they worked on the project's core features, as well as the Keras library demo and related test files. Furthermore, the user contributed to examples and documentation, including adding a Keras stock models graphing demo.
pytorchdeep-learningmachine-learningtrainingneural-network
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