AI Engineer Specialist

Transforming your data into intelligent value

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About Me

I am a dedicated AI Engineer with specialized expertise in Machine Learning, Deep Learning, and Natural Language Processing. My professional focus centers on developing intelligent systems that address complex real-world challenges through innovative technological solutions.

Following completion of my scientific baccalaureate, I undertook rigorous preparatory studies (Math Sup/Spé) at Lycée Thiers (Marseille) before gaining admission to ENSIMAG, where I specialized in Computer Science and Data Science through the prestigious MSIAM double degree program.

With a comprehensive foundation in computer science and extensive practical experience, I focus on architecting and deploying scalable AI solutions, managing the complete development lifecycle from conceptualization through production implementation.

Recently, I have been focusing on creating LLM-based apps via Agentic AI.

Apart from my insatiable interest in new technologies, my other hobbies are the following :

Sport : I like practicing sports including volleyball, basketball, handball, and tennis to maintain peak performance.

Outdoor Exploration : I'm passionate about hiking and discovering breathtaking landscapes that fuel my creativity.

Music : Rock and Classical music ... Isn't it the best combo to relax during your free time ?

Cooking : I enjoy niche tasty recipes I can share with my friends & family (latest one is Miso Ramen).

Strategic Gaming : Lifelong board game strategist with expertise in 7 Wonders and Risk - great training for analytical thinking!

Reading : I am found of reality-based thrillers that challenge perspective and enhance critical thinking skills.

Ambition never gets old

— Louis XVIII

Experience

AI Research Scientist - National Institute of Informatics

April 2025 - Present

Led the development of a new meta-labeling framework aiming at enhancing LLMs forecasting capabilities for Time Series.

As part of the Prendinger's LAB, I studied the Marcos Lopez de Prado work and implemented specialized fine-tuning architectures for adapting SOTA models (such as Autoformers, Chronos, TimeLLM ...) to financial time series (cryptocurrencies & stocks).

Main tools & libraries : Git, DeepSpeed, Optuna, Pytorch, VSCode (Python), WeightWatcher

Link to the paper : Coming Soon.

Data Scientist Intern - Hygie31

June 2024 - August 2024

Developed KPI visualization tools for optical pharmacy data at Hygie31. As part of the DINSI team, I built data pipelines automating collection, cleaning and features extraction process. I also created a specialized database for efficient information retrieval.

Main tools & libraries : Git, Informatica, Power BI, Pycharm (Python), Snowflake

AI Assistant Engineer - Centre National de la Recherche Scientifique

June 2023 - August 2023

Extended a Deep Learning architecture for protein structure comprehension. Within the LJK team, I integrated Laplacian motion vectors into the ScanNet model to find binding sites more precisely.

Main tools & libraries : Git, Pycharm (Python), Tensorflow