CV

Education

Master 2 Data Science, École Polytechnique (09/2025 - 09/2026)
Coursework: Monte Carlo methods and approximate inference; statistical learning theory; optimization for data science; optimal transport; reinforcement learning; ML with graphs; generative models; representation learning for computer vision.
Engineering degree major in Computer Vision and Signal Processing, Télécom Paris (09/2022 - 12/2026)
Coursework: optimization for ML, statistics, signal processing, databases, time series; computer vision (image processing, generative models, medical and satellite imaging, deep learning, 3D).
Sainte‑Geneviève High School (Classes Préparatoires PC) - Mathematics, Physics, Chemistry (09/2020–09/2022)
Intensive two‑year preparatory program for competitive French engineering schools. High school is ranked among the top 3 in France for its excellent results in the national competitive exams.

Research data scientist intern, BNP Paribas CIB, Data & Analytics Consulting (Paris, 04/2025 - 09/2025)
- Studied RAG evaluation frameworks (RAGAS) focusing on response accuracy, factuality, and contextual accuracy.
- Used LLM‑as‑a‑judge methods to verify correlation with human judgment on open‑source general knowledge and finance datasets; evaluated context precision with small fine‑tuned models (~100M params) at token/sentence/chunk levels.
- Developed a proof‑of‑concept using agentic frameworks (Smolagents, CrewAI) for automated email drafting and financial product recommendation.
Interdisciplinary Laboratory for Socio‑Ecological Simulation — Research Intern (Ottawa, 07/2024 - 12/2024)
- Improved a ResNet‑34–based classifier with two additional heads to detect beluga sound activity using new data.
- Built spatiotemporal models to forecast whale presence/absence from underwater noise in the St. Lawrence Channel and analyzed environmental variables correlated with beluga vocal activity.

SinGAN (Generative models), implemented “SinGAN: Learning a Generative model from a single natural image,” adapting the cost function to compare patch distributions.
Cancerous melanoma detection with ISIC dataset. segmentation with U‑Net; feature embedding and ABCDE rules; classification with scikit‑learn.
MARGO Hackathon (+IBM, Qubit Pharmaceuticals) : Developed ML models to predict cardiac toxicity of chemical compounds; awarded first prize (weekend sprint).

Technical: Python (Pandas, PyTorch, scikit‑learn, scikit‑image, OpenCV), Java, C, SQL, LaTeX, Git; Hugging Face.
Certificates: IBM AI Engineering Professional Certificate (March 2025) — Deep Learning, Generative AI, Hugging Face.
Languages: French (native), English (professional), Spanish (intermediate).
Personal: running, swimming, learning chess (~1000 Elo), rock dance.

Junior Enterprise — Project manager & quality supervisor: ISO9001 monitoring/auditing and internal documentation reviews. Led a team of four.

6 month internship starting April/May 2026 in computer vision, signal processing, quantitative finance or time‑series applications in finance, healthcare, or other : open to any sector and location.