Freelancer profile translated to English.
Back to original languageAbout Romain
About Me
Expert in Artificial Intelligence and Numerical Simulation with over 10 years of experience, I support companies in the design and optimization of complex AI systems. My background, combining high-level research (PhD, ONERA, INRIA) and cutting-edge industry engineering (Rapid7, Graphcore), allows me to tackle technological challenges where algorithmic precision meets performance.
Currently based in Belfast, available immediately for full-remote work, with a physical relocation to Bordeaux planned for June 2026.
What I bring to your projects:
- Generative AI & Agentic Systems: Design of advanced RAG (Retrieval-Augmented Generation) architectures, integration of LLMs (Claude, GPT via AWS Bedrock) and deployment of agentic pipelines for contextual reasoning.
- Computer Vision & Biometrics: Specialist in Deep Learning applied to large-scale facial recognition and complex image analysis (CNN, segmentation).
- Performance & Optimization (HPC): Acceleration of AI pipelines on GPUs (CUDA, TensorRT) and optimization of massively parallel computations (C++, Python, MPI/OpenMP).
- AI & Cybersecurity: Development of real-time anomaly detection models and predictive log analysis to secure Cloud environments.
My key expertise
- Languages & Frameworks: Python, C++, CUDA, C, PyTorch, TensorFlow, SQL.
- Infrastructure & Ops: Docker, AWS (S3, Bedrock), HPC, Secure multi-threading programming.
- Data Science: Random Forests, Isolation Forests, Fine-tuning of BERT models, Embeddings (FAISS).
- Applied Mathematics: Finite elements, signal processing, cryptography, physics, and Bayesian statistics.
French
Native or bilingual
English
Native or bilingual
Can work on-site
Bordeaux (up to 15km), Bayonne (up to 15km)
Experience
- Rapid7Senior AI EngineerSOFTWARE PUBLISHINGJuly 2024 - February 2026 (1 year and 7 months)Belfast, Northern Ireland, United Kingdom• Development of predictive models for real-time diagnostics: Random Forests, Isolation Forests, and fine-tuning of BERT models for log classification.• Architecture of an RAG (Retrieval-Augmented Generation) agentic pipeline: integration of FAISS (embeddings), SQL, and LLM (AWS Bedrock/Claude) for contextual reasoning.• Cloud data analysis (AWS) via SQL to optimize detection accuracy.• Mentoring of work-study students and support for junior engineers.
- ECIT, Queen's University Belfast,Senior Engineer - Cyber-AIHubRESEARCHJanuary 2023 - July 2024 (1 year and 6 months)Belfast, Northern Ireland, United Kingdom• Application of Computer Vision algorithms (CNN) for cloud service security.• Training and optimization of LogBERT models for system anomaly detection.• Cross-analysis of content (S3) and contextual signals (metadata, permissions).
- EEECS, Queen's University Belfast,Research FellowRESEARCHJune 2022 - January 2023 (7 months)Belfast, Northern Ireland, United Kingdom• Design of GPU-accelerated pipelines for real-time anomaly detection.• Optimization of computer vision algorithms for hardware defect detection.• Research on memory reduction for the FDTD (Finite Difference Time-Domain) method.• Supervision of Master's students and coordination of collaborative research projects (EPSRC).
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Education
- Doctorate (PhD)Université Paul Sabatier / ONERA2013PHD in computational physics (electromagnetism)
- MasterUniversité Paul Sabatier Toulouse2008Master in applied mathematics