CV
Summary
Lead Applied AI at BCG X. I deploy machine learning, geospatial analytics, and optimization systems for climate, sustainability, and energy-transition work, for public and private clients. I also design harnesses for coding agents: a written contract, invariants, and checks that run outside the prompt. Certified on Azure ML and Google Cloud. Co-inventor of US 12,711,433, a patent on optimizing Power-to-X plants.
Work experience
- Jan. 2022 – present: BCG X, Lead Applied AI
- Member of the AI/ML teams for Social Impact, Climate & Sustainability, and Energy
- Built geospatial tools that show how exposed a client is to climate risk, and what adaptation is worth doing
- Developed the optimization system a major energy company uses to design its Power-to-X strategy, now US patent 12,711,433
- Built the model behind a national energy-transition plan, used to test how policy choices change the energy mix, emissions, and the wider economy
- May – Dec. 2022: BCG GAMMA, Visiting Data Scientist
- Piloted personalization across store, web, and clienteling touchpoints for a luxury brand
- Built a demand-planning pipeline for a pharmaceutical company, with more than six time-series models and a 10% gain in forecast accuracy
- Feb. – July 2021: Richemont, Data Scientist Intern
- Built a scoring model and recommendation engine for 30 million customers, from transactions and Google Analytics
- Deployed it on Google Cloud and wired it into the clienteling application
- Segmented customers for two of the group’s maisons
- Aug. 2020 – Feb. 2021: Amazon, Business Intelligence Intern
- Shipped a daily Python report so a team of 20 developers could see the health of their AWS data pipelines
- Scoped machine-learning work to forecast global on-time delivery
- Jan. – June 2020: ESSEC Business School, Research Assistant
- Built a pipeline that collected and cleaned more than 20,000 semi-structured broker reports, using pandas, Tesseract, and Google APIs
Education
- M.Sc. in Artificial Intelligence, Ecole Centrale Paris, 2022
- MiM, ESSEC Business School, Paris and Singapore, 2022
- CPGE, Collège Stanislas, 2017
Skills
- Machine learning
- Modeling: pandas, NumPy, scikit-learn, XGBoost, TensorFlow, PyTorch
- Forecasting: ARIMA, Prophet, LSTM
- Optimization: OR-Tools, Pyomo, Gurobi
- Geospatial: GeoPandas, Xarray
- Agentic AI
- Harnesses: contracts, invariants, post-edit hooks, CI aligned with local checks
- LangChain, LangGraph, OpenAI API
- Languages: Python, R, SQL, LaTeX
- Cloud: Azure ML (Azure Data Scientist Associate), Google Cloud (Professional Machine Learning Engineer), AWS
- Engineering: Airflow, Docker, Kubernetes, GitHub Actions, CircleCI
- Visualization: Matplotlib, Seaborn, Plotly, Dash, Tableau
Patents and certifications
- Systems and techniques for optimizing the implementation and operation of Power-to-X plants. US 12,711,433, granted 18 August 2026.
- Microsoft Certified: Azure Data Scientist Associate
- Google Cloud Professional Machine Learning Engineer