Victor Gaultier
Mechanical Aerospace Engineer at Avientus
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolVictor Gaultier is a Mechanical Aerospace Engineer with 16 years of hands-on experience spanning mechanical design, FEA-driven product development, prototyping and production support across automotive, racing and aerospace contexts. He holds a PhD from ETH Zurich where he developed novel thermo-mechanical manufacturing processes for composite metastructures and led advanced FEA work in ANSYS/Abaqus/COMSOL to understand failure-critical connections. Comfortable in CAD (CATIA) and testing environments, he has a proven track record taking concepts through industrialization while collaborating with suppliers on component specification and quality control. Victor also contributes to open-source machine learning tooling—enhancing TensorFlow-Agents with reinforcement learning algorithm improvements and exploration strategies—demonstrating a rare blend of structural engineering and ML engineering skills. Based in Zurich, he combines rigorous academic training with pragmatic industry delivery, often bridging simulation-heavy research and hands-on vehicle systems. Colleagues rely on him for solutions that marry deep numerical analysis with manufacturable designs.
16 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at EPFLDoctor of Philosophy - PhD, Process and Mechanical Engineering, Doctor of Philosophy - PhD, Process and Mechanical Engineering at ETH ZürichScientific Baccalauréat, Scientific Baccalauréat at ESCR Ste Famille
French, German, English
Github Skills (10)
algorithm10
algorithms10
dqn10
agent10
tensorflow10
ai-agent10
python10
reinforcement-learning10
machine-learning9
bandit8
Programming languages (4)
Github contributions (5)
tensorflow/agents
Jan 2019 - Jun 2019
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Role in this project:
ML Engineer
ML EngineerContributions:12 commits in 5 months
Contributions summary:Victor primarily contributes to the TensorFlow Agents library, focusing on enhancements related to reinforcement learning algorithms. Their work includes refactoring code, exposing new agents, integrating exploration strategies like BoltzmannPolicy into existing agents (DQN), and improving code compatibility. Additionally, the user implements features to enable logging and supports action mapping within the QPolicy framework.
scalabletf-agentsmultiagent-reinforcement-learningtensorflow-librarymulti-armed-bandits
vcarbune/crowdsrc
Mar 2013 - Oct 2013
Contributions:81 commits in 7 months
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