Freelancer profile translated to English.
Back to original languageAbout Sébastien
7 years of experience as an engineer, I support companies by working on architecture, software and embedded development (C/C++, Python), and the training and deployment of Machine Learning and Computer Vision models, from scoping to production.
Autonomous vehicles, mobile robotics, medical imaging, industry, agritech: I design robust systems on servers or constrained targets.
Here are the missions I regularly undertake:
Software Architecture & Development:
- Modular, robust, and maintainable design
- C++ (11/14/17/20), Python, Clean Architecture, Microservices, FastAPI
- Unit and functional testing (Google Test, Boost.test, Cucumber)
- Tech Lead and technical referent
Computer Vision & Machine Learning:
- ML pipelines, image segmentation, object detection (YOLOv8), tracking, Deep Learning (Scikit-Learn, OpenCV, PyTorch, TensorFlow)
- Architecture, training, tuning, deployment on servers or embedded targets (ONNX, TensorRT, NVIDIA Jetson, Edge Computing)
Embedded & Real-Time Systems:
- Firmware and middleware development (NVIDIA Jetson, STM32, Raspberry Pi)
- Hardware/software integration, industrial protocols (CAN, I2C, serial). FreeRTOS
Robotics:
- ROS2/Nav2, sensor fusion, 2D/3D SLAM, navigation, obstacle detection
DevOps & Quality:
- CI/CD pipelines (GitLab, GitHub Actions), Docker
- Observability (Grafana, Foxglove, PlotJuggler, matplotlib)
- Simulation (Gazebo, Isaac Sim)
What my clients appreciate:
- Pragmatism: meet your deadlines, clear your backlog, deliver results
- Knowledge sharing: natural pedagogy, clear documentation, upskilling your teams
- Systemic vision: complete expertise on your projects, from design to deployment
- Collective intelligence: team facilitation, cross-functional communication, strategic vision, fluent FR/EN
Contact me to bring your projects to life.
French
Native or bilingual
English
Native or bilingual
Spanish
Conversational
Can work on-site
Paris (up to 50km), Lyon (up to 50km), Grenoble (up to 50km), Marseille (up to 50km), Montpellier (up to 50km)
Experience
- Activité Freelance IndépendanteSoftware and Computer Vision Engineer FreelancerENERGY AND UTILITIESMay 2025 - Today (1 year and 1 month)Lyon, FranceRole:Software architecture, computer vision, and machine learning, robotics development with perception and navigation under embedded constraints.Current Project:Autonomous rover for solar farm defect detection (embedded Computer Vision, ROS2, NVIDIA Jetson, YOLOv8).Missions:
- Software architecture and development.
- Computer Vision & Machine Learning pipelines. Detection (YOLOv8), image segmentation, automatic tracking, Deep Learning. Training, fine-tuning, integration. Deployment on servers and embedded targets (Edge AI).
- Embedded systems: real-time firmware and middleware development.
- Robotics: ROS2/Nav2 stack, sensor fusion, 2D/3D SLAM, trajectory planning, obstacle detection and avoidance.
- DevOps: automation, CI/CD.
- Observability solutions.
- Simulation.
- QA: unit and functional tests, non-regression.
- Strategy and business vision.
Key Achievements:- Creation of an optimized C++ library for image processing.
- Implementation of obstacle detection algorithms for autonomous vehicles.
Results:- 30% reduction in inference time.
- 35% increase in the execution performance of developed applications.
- 50% reduction in development time thanks to created libraries and tools.
Tools:C++, Python, OpenCV, PyTorch, TensorFlow, YOLOv8, Scikit-Learn, HuggingFace, GitHub Actions, Docker, Linux, NVIDIA Jetson, ROS2, Nav2, ros2_control, slam_toolbox, RTAB-Map, Foxglove, Gazebo, GoogleTest. - NAVYARobotics Project ManagerTRANSPORTATIONMay 2024 - September 2024 (4 months)Paris, FranceRole:Management of the company's technical projects for the design and development of autonomous shuttles.Missions:
- Project lifecycle management, from needs definition to production.
- Time and cost planning.
- Strategic arbitration.
- Product study.
- Functional needs assessment.
- System specification writing.
Key Achievements:- MVP definition and design.
- Design of the vehicle supervision system (Level 4 autonomy).
- Writing of the MVP system specifications.
Results:- Marketable MVP.
- 1 vehicle operating in Level 4 autonomy (no human onboard to supervise the vehicle).
- Implementation of business processes to synchronize project stakeholders.
- 1 complete roadmap for 1 year.
Tools:Autonomous Vehicles, Supervision, Cameras, LiDAR, Project Management, System Specifications, Roadmap, MVP, Product Strategy. - GE HealthcareLead Software EngineerHEALTH AND WELLNESSAugust 2023 - April 2024 (8 months)Versailles, FranceRole:Architecture and development of a software service for generating and importing DICOM images in mammography.Missions:
- Software architecture.
- Software development.
- Ensuring the integrity and security of patient data.
- Unit and functional testing, integration, validation.
- Agile planning.
- DevOps and System support.
- Client representative.
Key Achievements:- Complete software service architecture.
- Complete development of the software component.
- Implementation and development of a new functional testing framework.
- Improved robustness of the image acquisition system.
Results:- Enriched and reliable patient data.
- Image compatibility with imaging devices from other manufacturers.
- 75% test coverage.
- 95% faster execution of the functional test suite.
- 30,000 lines of code.
Tools:C++, Software Solution Architecture, Unit Testing, Functional Testing, SonarQube, Gherkin Language, Computer Vision, Digital Image Processing, DICOM, DDS, Git, Gitlab, Linux.
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Education
- Master of Engineering - Electronic and Robotic Engineering. Mention "International Studies"University of Strathclyde2018Master of Engineering
- Engineering Degree, Electronics and Industrial ComputingINSA Rennes - Institut National des Sciences Appliquées de Rennes2017Diplôme d'ingénieur, Electronique et Informatique Industrielle