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 actively engage in various 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 : I am a Rock and classical enthusiast who finds balance through piano performance during downtime.

• Cooking : I craft memorable dining experiences for friends and family, believing the best moments happen when shared.

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

• Reading : I gravitate toward 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, 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