WIP - Reworking Portfolio for modern look
About
AI & Signal Engineer (Phelma/Ense3), IAE-MBA Dual Degree. Expert in signal processing, data science, and AI. Combining technical mastery with strategic vision, driven by a continuous technological watch to shape the future of AI. The objective of this specialization is to train high-level engineers with expertise in signal processing, data science, artificial intelligence, computers, and electronics, capable of developing industrial projects in relevant sectors.
Download CVExpertise
- Physically-Motivated Deep Learning
- Mathematically-Driven Machine Learning
- Advanced Image Processing
- Finance specific Algorithms
- Python, C, LateX
- Matlab, Adobe Suite
Experience
EDF - General Technical Direction
Machine Learning & LLM
Summer 2024
Machine Learning and Large Language Models for data augmentation; Enrichment of EDF-Hydro database metadata with ML and LLM.
Gipsa-Lab, Grenoble
Signal Processing
Summer 2024
Python conversion for Acoustic Signal Analysis for Mechanochemical Synthesis Monitoring.
University of Stavanger
Deep Learning
Summer 2024
Development of 2 DL based on RoBERTA and LLaMA and 3 ML models to predict dementia in Python.
Phelma, Grenoble-INP
Assembly Language
Autumn 2023
Developped a python 2.7 assembly language decoder.
ENSE3, Grenoble-INP
Machine Learning
March 2023
Developed a Random Forest model to forecast energy consumption in a school building.
CEA, Grenoble
Python Development
Spring 2022
Developed a Python program optimizing the use of a 2D detector for X-ray diffraction on nanostructures.
Education
Graduate School of Management - INP
MBA
2025 — 2026
Business management and administration (MBA).
National Polytechnic institute of Grenoble
Engineering Degree
2022 — 2025
School of Energy, Water, and Evironment Engineering (ENSE3-INP) & Phelma-INP. Specialized in signal, image processing, Communication systems and multimedia.
University school of Stavanger
Exchange Program
January-June 2024
Machine Learning, Algorthm Theory and Deep Learning.
University of Grenoble Alpes
HND in Applied Physics & Instrumentation
2020 - 2022
Higher National Diploma in Applied Physics & Instrumentation.
Recent Works
Here are some of my favorite projects I have done lately. Feel free to check them out.
For my internships, the code was proprietary, so all projects here are personal projects or from Kaggle. This is why they don't match with some of my experience, which involved huge but proprietary projects.
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Deep Learning🧠 Dementia Detection.
This project aims to create a predictive model that leverages both machine learning and generative AI (GAI) techniques. The model skillfully employs linguistic features extracted from text data to predict dementia diagnoses.
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Development📑 PDF Reorganizer.
Created PDF tools that works Locally with streamlit for some friends who needed them because ilovepdf was banned from their workplace. A Streamlit-based tool for merging and reorganizing PDF documents by inserting multiple PDFs into a main document at specific positions.
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Machine Learning🏦 Loan payback probability.
Kaggle playground, predict the probability that a borrower will pay back their loan using CatBoost + TabNet combination.
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Development🐍 Python Assembler.
In this project, with a team of 4, our goal was to developed a custom Python assembler, focusing on lexical and syntactical analysis of regular expressions and Python instructions.
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Physics☢️ 2D Detectors in X-ray.
Two-dimensional detectors are advanced technology recently adopted in X-ray material characterization. Optimizing their use requires software development for data management and processing.
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Machine Learning⚡ Energy Prediction.
This project involved creating a model to predict various parameters related to the energy consumption of the GreEn-ER building. The focus was on applying machine learning algorithms to analyze building data.
Get In Touch
I love to hear from you. Whether you have a question or just want to chat about design, tech & art — shoot me a message.