Virgile Foussereau

Deep Learning Engineer Ii @Hayden AI

San Francisco, CA, US
EMAILS
v••••••••@hayden.ai
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Oct 2025 — Present

Deep Learning Engineer Ii @Hayden AI

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San Francisco, CA, US

EDUCATION

2018 — 2020

Lycée Saint Louis

Math, Physics & CS

N/A

École Polytechnique

Engineer's degree, Computer Science

N/A

University of California, Berkeley

Master's degree, Computer Science

ABOUT VIRGILE FOUSSEREAU

Greetings! I\'m Virgile Foussereau, a dedicated Machine Learning and Computer Vision enthusiast with an ongoing MEng in Computer Science at UC Berkeley. Learn more about me on: https://virgile-foussereau.github.io.Key Skills and Achievements- Education: I\'m pursuing an MEng in Computer Science with a specialization in Robotics & AI at UC Berkeley, and I already hold an MS in Computer Vision & Machine Learning from Ecole Polytechnique, maintaining a stellar GPA of 3.95/4.0, ranking first in Machine Learning among 155 students-Research Excellence: As a Visiting Researcher at the CNRS-AIST Joint Robotics Laboratory in Japan, I developed an innovative 6-DOF pose estimation method that merges Deep Learning Visual Detection and Dense Depth Alignment, awaiting publication-Practical Experience: My role as an Autonomous System Engineer at Einride in Sweden involved enhancing the autonomy of the Einride Pod, the first autonomous electric truck approved for public roads by the NHTSA. I significantly improved its prediction and maneuver recognition capabilities-Projects: I thrive on challenges and have a track record of successful projects:*Indy Autonomous Challenge (IAC): Currently, I\'m part of the UC Berkeley team competing in the $1.5 million prize Indy Autonomous Challenge. I lead the development of cutting-edge perception and localization systems for fastest autonomous car in the world.*Reinforcement Learning for Cooperation Behavior: At Ecole Polytechnique, I applied Reinforcement Learning techniques to train agents to cooperate efficiently in complex environments, achieving impressive results.*PyTorch NeRF: I extended the Tiny NeRF model using PyTorch, significantly boosting training speed while maintaining performance.*LiDAR-based Pedestrian Recognition: I developed a compound-scaled object detection model to improve pedestrian recognition and prediction in LiDAR point clouds.Learn more about my projects on https://virgile-foussereau.github.ioCall to Action:I\'m looking for full-time roles in Machine Learning, Computer Vision Engineer or Autonomous Driving. If you\'re seeking a dedicated, innovative, and results driven professional to contribute to your team or project, let\'s connect and explore how we can collaborate to create groundbreaking solutions.Feel free to reach out to me via LinkedIn messaging or at v••••••••@berkeley.edu. Let\'s embark on a journey of technological innovation together!

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