RGÀ propos de Romain
Highly accomplished Software Engineer with over 10 years of experience, specializing in the design, development, and deployment of Computer Vision, Digital Signal Processing, and Machine Learning solutions. Proven expertise in C/C++, Python, and modern AI/ML frameworks. Adept at leading complex algorithm development, architecting scalable systems, and optimizing performance in real-time embedded environments . Passionate about leveraging data-driven insights and AI to solve challenging problems and drive product innovation in Computer Vision, Data Science, and Artificial Intelligence roles.
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Allemand
Notions
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- RocheSoftware engineer in computer vision, signal processing and AI/MLSECTEUR MÉDICALfévrier 2019 - Aujourd'hui (7 ans et 4 mois)Stuttgart, AllemagneLaboratory automation:○ Drove end-to-end design, development, and maintenance of critical Computer Vision and Digital Signal Processing applications for automated laboratory diagnostics, significantly enhancing system accuracy and operational efficiency.○ Engineered a robust Computer Vision system in C++ using OpenCV for real-time Tube Type Identification (TTI), handling about 1000 diverse tube types in high-throughput laboratory settings.○ Spearheaded the development of a novel laser-based Liquid Level Detection (LLD) system, improving measurement accuracy and reducing operational costs. Designed and implemented the core algorithm and real-time data acquisition module using FreeRTOS on Buildroot Linux.○ Led comprehensive test campaigns with biological samples to collect extensive field data, directly informing algorithm refinement and validating system performance against real-world variability.○ Designed architecture for the next generation of TTI and LLD units, leveraging Docker containers and gRPC for seamless inter-service communication.○ Packaged core algorithms as Conan libraries (C++) and exposed Python interfaces (pybind) for efficient integration into automated testing.○ Developed a sophisticated Python ETL framework for automated algorithm performance monitoring using field data, reducing the need for costly bio-material test campaigns and accelerating development iterations. Utilized Pandas, SQLAlchemy, Seaborn, and Plotly for advanced data wrangling, analysis, and visualization.○ Prototyped AI/Deep Learning solutions /LSTM, CNN, and HMM) with Keras, PyTorch, and Scikit-learn for enhanced tube classification and liquid level detection, demonstrating potential for significant improvement in robustness.○ Contributed significantly to the product lifecycle, from requirements definition to system architecture and test case development. Mentored junior engineers and students, guiding innovative prototyping efforts within a SAFe Agile framework.
- ValeoSoftware EngineerAUTOMOBILEjanvier 2015 - janvier 2019 (4 ans)Stuttgart, AllemagneAutomated Parking System:○ Developed and optimized complex motion planning algorithms in C++ for the PARK4U® Automated Parking System, enabling precise parallel and perpendicular parking maneuvers for leading automotive OEMs (Ford, JLR, Audi, Tesla, Daimler, Renault).○ Maintained and enhanced a Qt-based visual simulation framework for trajectory validation, facilitating rapid iteration and robust testing of algorithm performance across diverse vehicle environments.○ Provided expert algorithm adaptation and integration support for critical customer projects, resolving complex issues through rigorous problem analysis, live debugging (in-car and CANOE), and comprehensive testing, ensuring successful deployment in production vehicles.○ Collaborated effectively with global engineering teams (onsite and offshore) in an agile environment, contributing to the end-to-end software development lifecycle and feature delivery.
- BoschSoftware EngineerAUTOMOBILEmai 2014 - juin 2015 (1 an et 1 mois)Stuttgart, Allemagne○ Spearheaded the migration and porting of critical DLLs for Bosch's ESI[Tronic] diagnostic software from Borland to Visual Studio (C++), ensuring compatibility and control functionalities across a brange of vehicle models through direct in car testing.○ Developed comprehensive test cases for BMW's surround view system, contributing to the validation and quality assurance of advanced driver-assistance systems (ADAS)
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Formations
- Master of ScienceCranfield University2013Master of Science
- Engineer DegreeSeaTech2012Engineer Degree
Certifications
- Sensor Fusion NanodegreeUdacity2022
- Data Scientist NanodegreeUdacity2021