Resume
SUMMARY
Results-oriented Computer Vision Engineer with over 5 years of experience delivering software solutions in the automotive industry. Expertise in designing, optimizing, and deploying deep learning models on edge devices for real-world applications across multiple industries.
EXPERIENCE
T&S Engineering (Paris, France)
Software Engineer Consultant, Sep 2019 – Present
- AGCO Corp (Beauvais, France), Jun 2021 – Sep 2022
- Developed and integrated a wiper control module for next-generation tractors, enhancing operational efficiency.
- Implemented a telemetry module tailored for the Chinese market, facilitating real-time data acquisition and analysis.
- Designed diagnostic functions adhering to the UDS standard, improving system reliability and maintainability.
- Conducted comprehensive testing and validation on machinery, ensuring robustness and compliance with industry standards.
- Faurecia (Brières, France), Jun 2020 – Jun 2021
- Engineered a smart seat system capable of detecting occupant posture using integrated machine learning algorithms.
- Seamlessly integrated machine learning models into embedded systems, enabling real-time inference on edge devices.
- Developed APIs for model inference, streamlining the deployment of AI functionalities in automotive applications.
- Led testing and evaluation processes, ensuring high accuracy and reliability of posture detection systems.
- E2CAD (Eragny, France), Sep 2019 – Jun 2020
- Spearheaded software development for inverter platforms in collaboration with Renault Group, enhancing electric vehicle performance.
- Configured I/O and ADC systems for precise signal processing, contributing to improved system responsiveness.
- Established robust communication protocols between SPI and FPGA, ensuring seamless data exchange and system integration.
- Conducted rigorous unit testing and validation, guaranteeing software reliability and performance.
Valeo (Cergy, France)
Software Engineer (Apprentice), Sep 2015 – Sep 2018
- Automated validation testing for CAN and FlexRay network specifications, reducing testing time.
- Developed a signal generator to simulate permanent magnet motor positions, facilitating advanced testing scenarios.
- Authored comprehensive documentation, enhancing knowledge transfer and system maintainability.
EDUCATION
- Electrical Engineering & Industrial Computing (Master’s degree), ENSEA – Cergy, France
- Specialized in Embedded Systems
- Electrical Engineering and Industrial Computing (Bachelor’s degree), Institute of Technology of Cherbourg-Manche
- Specialized in Control & Industrial Computing
CERTIFICATIONS
- Self-Driving Cars Specialization, University of Toronto, Coursera, Jun 2023
- IBM Data Science Professional Certificate, Coursera, Sep 2022
- The Complete Self-Driving Car Course** - Applied Deep Learning Computing Certificate, Udemy, Mar 2021
SKILLS
Programming Languages:
- Proficient in C/C++, Python; currently learning Rust.
AI & Computer Vision:
- Expertise in computer vision, including CNNs, Vision Transformers, GANs, and diffusion models.
- Proficient with frameworks such as OpenCV, Scikit-Learn, PyTorch, TensorFlow, Keras, and the Hugging Face ecosystem.
- Experienced in deploying models using ONNX, LiteRT, and Qualcomm AI Hub.
Edge & Embedded Systems:
- Hands-on experience with microcontrollers, Raspberry Pi, Jetson Nano, and ROS.
- Skilled in integrating various sensors and actuators for real-time applications.
Project Management:
- Agile, Git, SVN, CI/CD, and project planning tools.
Languages:
- Fluent in French, Portuguese, and English.
PROJECTS
- Real-time Self-Driving Car Behavioral Cloning (OpenCV, Keras, CNN)
- Built a CNN inspired by NVIDIA’s architecture for steering prediction.
- Collected data and trained the model on diverse driving scenarios in the Udacity Simulator.
- Achieved accurate, smooth vehicle navigation in simulation
For more projects, please visit my Portfolio.
INTERESTS
- Ultrarunning, Chess, Guitar improvisation, Reading, Basketball