About Me
Seasoned Artificial Intelligence Software Architect & R&D Engineer with over 20 years of professional experience in software design and development. Graduated in Artificial Intelligence in 2004—long before the current AI boom—with advanced degrees specializing in general AI, neural networks, and multi-agent systems, driven by lasting passion and curiosity for the field.
Certified IBM Artificial Intelligence Engineering Professional with deep expertise in Machine Learning, Deep Learning, and Generative AI.
Certified Kubernetes Application Developer with proven cloud-native architecture skills.
Core expertise spans:
- Generative AI & Large Language Models (LLMs): advanced assistant systems, prompt engineering, fine-tuning
- AI Orchestration: LangChain, LangGraph, multi-agent workflows, and intelligent automation pipelines
- Cloud-Native Computing: Kubernetes, microservices, scalable SaaS architectures
- Data-Centric AI Platforms: Big Data pipelines, MLOps, Data Science infrastructure
- Secure REST APIs, CLI tools, and robust backend systems
Work experience across multiple high-stakes domains including AI-first collaborative document editing solutions, fintech, and medical systems—bringing a holistic understanding of client needs and responsible AI deployment.
Extensive hands-on experience in large-scale data management (Petabyte to Exabyte scale): data protection, replication, archiving, storage, and recovery solutions for enterprise clients. Strong advocate for user data privacy and the ethical, transparent use of AI technologies in production environments.
Languages:
- French: native
- English: CECRL C1
Experience
Software Editor – AI-First Data Science Platform – 5 people – Paris, France
- Design and development of AI-first collaborative document editing solutions with advanced LLM integration
- AI Orchestration specialist: implementing multi-agent workflows using LangChain and LangGraph frameworks
- Advanced prompt engineering, fine-tuning, and integration with multiple generative AI providers (OpenAI, Anthropic Claude, Google Gemini, Mistral AI, Hugging Face)
- Extensive Cloud infrastructure design and management across AWS, Azure Portal, and Supabase for scalable AI platform deployment
- Lead architect for quality governance solution: source code analysis, project management automation, and Kubernetes application lifecycle
- Continuous improvement of HFactory Data Science platform (Jupyter Hub/Lab, Apache Spark)
- Active in Technology Watching and AI innovation
Python 3, LangChain, LangGraph, PyTorch, TensorFlow, Keras, scikit-learn, pandas, NumPy, JupyterHub, JupyterLab, Jupyter Notebooks, Apache Spark, Scala, Java
PyCharm, Kubernetes, Docker, MLflow, Prometheus, Grafana, Git, GNU/Linux, macOS, Windows
OVH Cloud, AWS (EC2, S3), Microsoft Azure, Google Cloud Platform (GCP)
OpenAI, Anthropic Claude, Google Gemini, Mistral AI, Hugging Face, and other LLM providers (AnyScale, Mixtral, Fireworks AI, Perplexity AI, Deep Infra, Voyage AI)
Software Editor – Fintech SaaS Platform – 20 people – Nancy, France
- Lead engineer for Data Import features serving 150k+ buyers and processing 1.9M+ accounting documents
- Re-architected 80+ legacy processes into a robust, intelligent job cascade system, improving reliability and performance
- Cloud architecture optimization and cost management across Azure infrastructure
- Design and implementation of advanced Statistics Computation and Reporting features
- Active in Technology Watching and modern web architecture patterns
C#, .NET Core, .NET Framework, Node.js, PHP, Composer, Symfony, JavaScript, Angular, Backbone.js, AJAX, jQuery, UML
Visual Studio, Visual Studio Code, Microsoft Azure, Redmine, Azure DevOps, Git, GNU/Linux, VirtualBox, Windows
IT company – Digital Healthcare Solutions – 50 people – Nancy, France
- Design and development of a medical portal (Web Service) providing secure access to patient medical records
- Creation of dynamic patient lifeline visualization system using interactive web graphs
- Large-scale medical data management across heterogeneous RDBMS technologies
Java EE, JSP, Java Servlet, XML, [X]HTML, CSS3, JavaScript, AJAX, jQuery, Spring, Struts 2, JSON, Highcharts, UML
IBM RAD, Eclipse, IBM WebSphere, CVS, Microsoft SQL Server, Oracle Database, Windows
Software Editor – Exabyte-Scale Data Management – 5 people – Paris, France
- Design and implementation of Cloud Storage Web Services integrating Amazon (S3, Glacier) and OpenStack Swift
- Lead architect for Exabyte-scale data archiving solutions with POSIX.1-2001 compliance
- Full automation of build system, achieving 80% improvement in deployment efficiency
- Technology Watching and innovation leadership
- Implementation of re-branding features, securing 2 new enterprise customers
Java EE, JSP, Java Servlet, PHP, XML, [X]HTML, CSS3, JavaScript, AJAX, jQuery, Struts 2, Apache Axis 2, JSON, SOAP
Eclipse, Apache Tomcat, Git, Apache Ant, Jenkins, VirtualBox, AWS (S3, Glacier), OpenStack Swift, GNU/Linux, macOS, Windows
Independent Consulting – Software Architecture & Development – Nancy, France
- Architecture and optimization of real-time systems handling 1k+ simultaneous connections
- Design and development of Web Services including an Amazon S3 Server emulator
- Creation of 3 Web Sites and maintenance of 5 production Web Sites
- Strategic consulting for hardware and software architecture decisions
Java EE, JSP, Java Servlet, C/C++, PHP, XML, [X]HTML, CSS3, JavaScript, AJAX, jQuery, Struts 2, Apache Axis 2, JSON, SOAP
Eclipse, Apache Tomcat, Git, Gitolite, Apache Ant, Apache Maven, VirtualBox, GNU/Linux, Windows, CMS (WordPress, Joomla, Drupal)
Software Editor – Petabyte-Scale Data Management & Archiving – 30 people – Vannes, France
- Team Leader for Software Engineering team (2 engineers) and Quality Assurance team (3 engineers)
- Lead architect for data archiving, protection, replication, and recovery solutions managing tens of Petabytes for enterprise clients
- Design and implementation of magnetic tape archiving functionality supporting 4 TAR formats
- Data migration and import system from legacy archiving platforms
- Creation of comprehensive API and CLI system with 30+ commands for enterprise data operations
- Build system architecture, cross-platform compatibility (Linux, Solaris, Mac OS, Windows), and re-branding system
- Design of analysis, optimization, and productivity tools
Java, C/C++, PHP, XML, Apache Commons, Google Guava, UML, OpenOffice
Eclipse, Subversion (SVN), CVS, Git, Apache Ant, VMware, VirtualBox, GNU/Linux, Solaris, macOS, Windows, Codendi, SourceForge
Space Industry – France's National Space Agency – 2300 people – Paris, France
- Design and development of a software platform for designing next-generation space launchers
- Implementation of modeling and simulation features integrating 10+ aerospace technologies
- Integration with 3 computation/simulation tools implemented in MATLAB
Java, PHP, XML, Apache Commons, UML, OpenOffice
Eclipse, CVS, Apache Ant, MATLAB, GNU/Linux, Windows
Projects
Sophisticated and resilient FOSS Python toolbox providing foundational infrastructure for Python applications. Skip the mundane setup and focus on what truly matters. Features include configuration file management with inheritance capabilities, integrated logger configuration, session management, and unified file handling for both local and remote storage. Actively maintained with regular releases. Licensed under GPL v3.0+.
Python 3, Configuration management, File management, Session management, JSON, Logging
PyCharm, Git, Sphinx, GitLab CI/CD, Docker, GNU/Linux, Unix, macOS, Windows
FOSS common utilities/toolbox for GNU/Bash scripts development. Reusable foundational toolkit providing service/daemon management, signal handling, system logging, and configuration features. Compatible with GNU/Bash versions v3.2+, v4.0+, and v5.0+ across multiple operating systems: GNU/Linux, Unix, Mac OS, Solaris, and Windows. Regularly updated with new releases, contributions welcome. Licensed under GPL v3.0+.
GNU/Bash, service, daemon, signal, system log, configuration file, pattern matching, PID file
Atom, Git, Apache Ant, Jenkins, Docker, GNU/Linux, Unix, macOS, Solaris, Windows
FOSS Virtual Intelligent System aggregating advanced Artificial Intelligence technologies (machine learning, speech recognition, form recognition, motion recognition) for daily tasks, home automation, and robotics applications. Early intelligent system project exploring voice assistance and home automation. Archived as major tech companies deployed competing platforms with massive ecosystem investments. Licensed under GPL v3.0.
Python 3, Java EE, JSP, Java Servlet, JSON
PyCharm, Eclipse, Apache Tomcat, Git, Apache Maven, Apache Ant, Jenkins, Kubernetes, Docker, VirtualBox, GNU/Linux, macOS, Windows
Certification
Education
University of Lorraine - Software Engineering
Master Informatique - FST Nancy
Master degree in Software Engineering
2005
Université de Lorraine – Nancy, France
Graduated with honors, Valedictorian (top of class)
Comprehensive curriculum covering advanced software architecture, distributed systems, enterprise application development, and software quality assurance. Focus on object-oriented design, design patterns, and scalable system architecture.
University of Lorraine - Artificial Intelligence
Master Informatique - FST Nancy
Master degree in Artificial Intelligence
2004
Université de Lorraine – Nancy, France
Graduated with honors
Specialization: General AI, Neural Networks, Multi-Agent Systems — Long before the current AI boom
Advanced studies in machine learning algorithms, symbolic AI, constraint satisfaction, expert systems, and distributed artificial intelligence.
Research work conducted at LORIA (Lorraine Research Laboratory in Computer Science and its Applications), a joint research unit of CNRS, University of Lorraine, CentraleSupélec, and Inria. Worked within one of France’s largest computer science research centers, focusing on multi-agent systems and emergent behavior.
Classes Préparatoires aux Grandes Écoles – Nancy, France
Highly selective and intensive two-year program focused on advanced scientific education
Curriculum: Mathematics, Physics, Chemistry, and Engineering Sciences, with strong emphasis on both theoretical rigor and practical application through extensive laboratory work
Rigorous training in problem-solving, analytical thinking, and scientific methodology
A Little More About Me
Beyond professional work, I maintain a curiosity for technology and science while staying physically active.
Other interests:
- Space exploration – following ESA, NASA, and SpaceX missions
- Robotics and home automation – experimenting with IoT devices and smart home systems
- Continuous learning through technical blogs and research papers
Physical activities:
- CrossFit, Calisthenics, Swimming
- Jogging, Biking
- Āyurveda - ૐ