About Nicolas
PhD IA & cybersecurity | Machine Learning Engineer | Data & Cybersecurity pour l’industrie
You want to unlock industrial performance with AI-driven optimization while keeping your systems secure?
I help industrial companies achieve up to 40% energy savings through advanced machine learning, predictive control, and digital twins, tailored for real-time industrial environments.
With a strong background in Artificial Intelligence (PhD-level R&D), I design and deploy smart optimization algorithms, multi-site coordination systems, and data-driven decision tools that transform operations.
Having worked in classified Defense environments, I also bring expertise in industrial cybersecurity—performing risk assessments, code audits, and vulnerability management—to ensure robust and safe AI deployments.
I deliver solutions including AI optimization platforms, predictive maintenance tools, automated process control, and cyber-resilient industrial applications, deployed on edge and cloud infrastructures.
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- DEFResponsable CybersécuritéDIGITAL AND ITNovember 2022 - May 2023 (6 months)Massy, FranceCybersecurity Engineer – DEF (6 months)Worked in a classified Defense environment, ensuring cybersecurity compliance of fire detection PLCs for critical infrastructure.Conducted risk assessments using EBIOS methodology, contributing to a robust ISO 27001-aligned security framework.Performed penetration tests, secure code audits, and managed vulnerabilities using industry-standard tools (Burp Suite, Wireshark).Led the tracking and remediation of vulnerabilities, strengthening system resilience and reducing critical findings.Delivered cybersecurity awareness training for project managers, enhancing security culture across projects.
- PurecontrolAI engineerDIGITAL AND ITMay 2023 - Today (3 years and 1 month)Rennes, FranceAI Engineer – Purecontrol (current)Developed real-time AI-driven optimization solutions for industrial sites, achieving up to 40% energy savings on wastewater treatment plants and drinking water pumping stations.Designed and deployed predictive models for flow forecasting and multi-factor optimization (demand curves, pumping strategies, valve actions, upstream basin management).Built digital twins and machine learning algorithms for advanced process control, improving operational efficiency and reducing environmental footprint.Led data analysis and feature engineering to enhance decision-making for local MPC solvers and global cost optimization across interconnected sites.Collaborated with multidisciplinary teams to deliver scalable, eco-conscious solutions deployed on edge and cloud infrastructure.Technical Environment: Python, TensorFlow, Pyomo, Docker Swarm, Grafana, Prometheus, Industrial IoT, Machine Learning, Predictive Control, Energy Optimization.
- INSA RennesCo-développeur de la librairie open source GegelatiSOFTWARE PUBLISHINGSeptember 2019 - September 2022 (3 years)Rennes, FranceContribution au développement d’un framework léger de programmation génétique (TPG – Tangled Program Graphs), permettant d’appliquer des algorithmes évolutifs à l’optimisation, à la classification et à la détection d’intrusions.Conception et implémentation de briques logicielles en C++ hautes performances.Tests, documentation et intégration continue.Projet utilisé dans plusieurs travaux de recherche académique et applications industrielles exploratoires.https://github.com/gegelati/gegelati
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Education
- PhDINSA Rennes2022PhD in Cybersecurity & Artificial Intelligence focused on reinforcement learning for intrusion detection in industrial information systems. Designed an AI engine for real-time network metadata analysis, outperforming state-of-the-art intrusion detection methods. Developed an embedded prototype (Odroid) in C/C++, enabling continuous learning with optimized energy consumption suitable for mobile and IoT platforms. Delivered contributions bridging machine learning, embedded systems, and cybersecurity, providing hands-on expertise in R&D and applied AI security.