About Sidney
🚀 AI Lead @Rakuten
- Define AI strategy
- Upskill teams on GenAI & agents
- Build AI products from 0→1
- Improve employee productivity with AI tooling
- 80+ agents
- 94.5% task success rate
- Featured as a Notion Custom Agents showcase
- Agentic AI
- AI Product Management
- GenAI • LLM Applications
- AI Productivity
- Rapid Prototyping
- Fractional AI PM
- AI strategy advisor
- Hands-on GenAI consultant
- AI product lead
French
Native or bilingual
English
Fluent
Dutch
Conversational
Experience
- RakutenLead AI Product ManagerE-COMMERCESeptember 2025 - Today (9 months)Paris, France
- Designed and shipped an enterprise agentic AI platform from scratch for employees — 80+ autonomous agents with 94.5% task-completion rate
- Led a team of 3 data scientists; shipped AI features including Buy Box algorithm, churn prediction model, and buyer segmentation, impacting 12M+ monthly users.
- Drove org-wide AI adoption by designing playbooks, LLM monitoring systems, and stakeholder onboarding programs that converted non-technical teams into autonomous AI users
- Stack: Claude Code, multi-agents orchestration & monitoring, Python, TypeScript, GCP, microservice architecture, RAG, MCPs, prompt engineering
- Ethik-IACTPOHEALTH AND WELLNESSJune 2023 - July 2025 (2 years and 1 month)Paris, France
- Member of the founding team and in the Management Committee, contributing to strategic and high-level decisions.
- Founding Product & Eng.
- Led a team of 6: 3 developers, 1 UX, 1 UI, 1 analyst, 1 scrum master, efficiency.
- 0 to 1: Drove the product lifecycle from ideation to production, with 10+ clients.
- Managed an annual budget of 0.5M€, balancing innovation and cost
- Tunz.aiChief Technology Officer (side-project)HUMAN RESOURCESMay 2024 - October 2024 (5 months)Paris, France
- Bootstrapped as a side project an HR tech B2B SaaS Platform.
- Full stack development of the platform (Python/Flask, HTML, CSS, Javascript, Vue.js)
- Developed and integrated multiple multimodal LLM models
- Drove the product lifecycle from ideation to deployment.
- Collaborate closely with my executive partner to shape and implement project vision and strategic goals.
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Education
- Doctor of SciencesSorbonne université & Université Libre de Bruxelles2022PhD Title: "Time Reversal Precoding with Artificial Noise Injection for Physical Layer Security" My PhD work proposed a new practical scheme to perform physical layer security (PLS) in the context of IoT and 5G. It aimed to secure IoT networks prone to passive eavesdropping while guaranteeing the reliability of the transmission to a legitimate user and preventing multiple passive eavesdroppers to correctly decode the data in a worst-case scenario, i.e., - A noiseless eavesdropper, - An eavesdropper equipped with an arbitrarily large number of antennas, - A transmitter imperfectly estimating the legitimated receiver's channel state information. I wrote multiple first-authors scientific papers in top-tiers journals (e.g., IEEE) and presented my work in world-class conferences all around the world (Hawaï, Dublin, Paris...)
- Master of Science (magna cum laude)Polytechnic School of Brussels2018Master of Sciences (Ms) in Electrical Engineering focus Electronics and Information Technology - Telecommunications (Signal Processing, Mobile & Wireless Communications, Digital Communications...) - Big Data, Machine Learning, Computer Vision - Project Management & Teamwork - Research Internship (3 months in Paris focused on Physical Layer Security) - Scientific writing (Master Thesis in Physical Layer Security - Grade: Summa Cum Laude)