Freelancer profile translated to English.

Description

C++ engineer in high-performance software development, specializing in LIDAR point cloud processing and 3D perception. I have designed and deployed complete 3D processing pipelines in C++17 (filtering, segmentation, clustering, RANSAC) as well as AI-based object detection solutions (YOLO, Pointcept) for SNCF. My experience also includes embedded development in C/C++ for the automotive industry (ISO 26262, ASPICE, CAN) at Vinci Energies and EngLab.

My areas of expertise: high-performance C++17/Python development, 3D/LIDAR data processing, computer vision, multithreading (OpenMP, std::thread), Qt/QML interfaces, Docker containerization, and CI/CD integration on Linux.

Available for missions in perception, image processing, embedded software, or C++ development in general.

Industry field of expertise

Languages

French
Native or bilingual
English
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 50km), Marseille (up to 50km), Lyon (up to 50km), Toulouse (up to 50km), Bordeaux (up to 50km)

SNCF Réseau
C++ 3D Engineer
TRANSPORTATION
April 2024 - May 2026 (2 years and 1 month)
Saint-Denis, France
- Development of a LIDAR point cloud simulation and processing pipeline in C++17 and Python: statistical filtering, voxel downsampling, RANSAC plane extraction, and segmentation for automatic classification of infrastructure objects (catenaries, poles, signage).
- AI-based object detection: training and deployment of YOLO models on 2D orthoimages for detection, followed by 3D reprojection and individual segmentation of each object in the point cloud – an approach directly applicable to ADAS perception.
- Utilization of Pointcept for 3D semantic segmentation of LIDAR point clouds, enabling fine classification of infrastructure components.
- Implementation of detection and clustering algorithms (Euclidean Cluster Extraction, Region Growing) on dense point clouds.
- Spatial indexing using KD-Tree and Octree within an internal C++ library to optimize neighborhood searches on scans with 10M+ points.
- Performance optimization through multithreading: OpenMP for intensive point-by-point processing, std::thread for task parallelism.
- Python development for perception algorithm prototyping, test automation, and tool scripting.
- Creation of interactive 3D visualization interfaces with Qt and QML for inspection and annotation of detection results.
- Docker containerization, deployment on Linux/Unix, PostgreSQL database.
- Unit and integration tests, ROS2/C++ code reviews, technical documentation on Confluence.
C++17 Python Docker Microsoft Azure Cloud Lidar
Sequans Communication
Integration Platform Engineer
TELECOMMUNICATIONS
September 2023 - April 2024 (7 months)
Paris, France
• Development of software components for Sequans (Tau) chips in C/C++11 for embedded telecommunications platforms.

• Creation and maintenance of low-level chip-side tests, using C/C++ and assembler if necessary, as well as Python for automated and unit test frameworks.

• Identification, investigation, and resolution of potential hardware and software bugs and malfunctions, at the firmware and driver level.

• Assistance with ASIC pre-validation activities using the Cadence Palladium Emulator Z1.
C C++ Python Palladium Gitlab
Technology and Strategy
Embedded Software Engineer
AUTOMOBILE
October 2022 - August 2023 (10 months)
France
Development of low-level embedded C code on an SPC58 controller for power steering management software in Mercedes heavy-duty trucks (real-time constraints and functional safety requirements).

I worked according to the A-SPICE model and the V-cycle: specification, detailed design, implementation, testing, and traceability.

I performed systematic code reviews and static analyses, ensuring compliance with MISRA C standards and internal coding guidelines for robustness and maintainability.

I wrote detailed software design documentation for modules using PlantUML (sequence diagrams, class diagrams, architectural views).
C Windows ASPICE Misra C PlantUML