Developed AI solutions for startups and SMEs, successfully implemented to address the strategic needs of leading enterprises.▪️ 𝐀𝐈/𝐌𝐋 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭𝐬- Designed an intelligent ecosystem for automatic analysis of document corpora, checking relevance of tenders to specific requirements. Leveraged specialized LLMs, Retrieval-Augmented Generation (RAG), and Chain of Thought (CoT) reasoning : manual processing time reduced by 30x, accuracy at 80%⁺.- Created a post-training enhancement solution combining real-time practice and feedback. Integrated voice recognition, speech synthesis, and generative AI fine-tuned to the methodology.- Developed a high-frequency computer vision tracking system for a phygital game in Family Entertainment Centers : millimeter-level accuracy at 60 FPS.- Automated the generation of hybrid datasets, creating semi-synthetic, anonymized training data for fine-tuning NER models and large language models (LLM).▪️ 𝐀𝐈 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞- Conducted business process analysis for SMEs to identify opportunities for AI integration across diverse industries, including construction, healthcare, and food services.- Designed and deployed an on-premise inference server, optimized for specialized large language models (LLM).▪️ 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠- Acted as Product Owner for an intelligent data discovery and compliance solution, built on advanced AI models.

I develop ERP-modules and ML-based solutions with my team while driving various IT projects for our clients.▪️ 𝗗𝗲𝘃𝗢𝗽𝘀 / 𝗠𝗟𝗢𝗽𝘀 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝗶𝗲𝘀- Designed 𝘊𝘐/𝘊𝘋 𝘱𝘪𝘱𝘦𝘭𝘪𝘯𝘦 relying on Git, Runners, Docker Hub and Kubernetes- Building and deploying containers serving ERP and ML solutions on our Kubernetes cluster- Integrating ERP for several companies and developing modules▪️ 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀- Automated document classification with 𝘚𝘪𝘢𝘮𝘦𝘴𝘦 𝘯𝘦𝘶𝘳𝘢𝘭 𝘯𝘦𝘵𝘸𝘰𝘳𝘬 with both text and visual: 18 million documents categorized- Built a realtime Anomaly detection model leveraging 𝘢𝘶𝘵𝘰𝘦𝘯𝘤𝘰𝘥𝘦𝘳 fed with 𝘸𝘰𝘳𝘥 𝘦𝘮𝘣𝘦𝘥𝘥𝘪𝘯𝘨𝘴: 100% relevant so far- Helped trainee to practice using 𝘕𝘓𝘗 and 𝘙𝘕𝘕 by classifying written sentences against expected categories- Developed a 𝘋𝘦𝘧𝘢𝘶𝘭𝘵 𝘱𝘳𝘦𝘥𝘪𝘤𝘵𝘪𝘰𝘯 𝘮𝘰𝘥𝘦𝘭 for a specific Leasing market▪️ 𝗥𝗼𝗹𝗲𝘀 𝗮𝘀 𝗜𝗧 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝗻𝘁- Information system Architect: I connect software and data sources, find the right building blocks for my clients.- IT Project manager: I lead a few projects, mainly related to software development- 𝘎𝘋𝘗𝘙: I ensure compliance exchanging view with DPO ant IT about security or processes such as anonymization

I was managing the technical part of ERP integration project, I then took the lead of the team in charge of software maintenance.▪️ 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁- Integrated the new ERP from a technical perspective, handling and managing: Data Import, Data exchange, Access Control list, …- Found the right ECM tool for digital archives management▪️ 𝗗𝗮𝘁𝗮 𝘃𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 / 𝗞𝗣𝗜- Built a Data Warehouse, Data engineering with SSIS ETL as data pipeline- Extracted KPIs and Dashboards with cloud Dataviz solutions▪️ 𝗧𝗲𝗮𝗺 𝗹𝗲𝗮𝗱- Knowledge management: as the team acquired skills company gained more autonomy, halving the run cost tied to software editor expertise over a year- Improved QOL with a predictive assistance system offering help before a user needed to reach out

I worked with QA Team to improve malfunctions monitoring and fixing in an international context.- Monitored Quality with a daily meeting with India, kept a written report up to date- Designed Integration tests and complex testing scenarii design, traveled to Bangalore for execution

I designed software and middleware in a service-oriented architecture built on cloud services focused on low latency data collection and distribution.▪️ 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁- Led CRM project development involving data exchange with 10+ companies and services- Deployed cloud-based softphones solution for customer relationship department- Managed the ESB rework project: achieved 10x faster transactions with better maintainability and traces