about
Machine Learning Engineer with a strong foundation in applied mathematics and data science from CentraleSupélec. I specialize in Document AI and Large Language Models, with a focus on studying and implementing state-of-the-art research.
My journey spans from autonomous vehicles research to quantitative finance to AI R&D. Today, I'm passionate about building LLM-powered agents for real-world automation.
I believe complex ideas deserve simple explanations. I share what I learn through articles and open-source repos.
Document AI
specialization
LLMs & Agents
current focus
CentraleSupélec
alumni
Paris
based in
skills
deep_learning
PyTorch
HuggingFace
Transformers
CNNs
LLMs
computer_vision
Document AI
LayoutLM
YOLO
OCR
Table Extraction
nlp
LLMs
Transformers
BERT
GPT
Text Classification
Tokenizers
data_&_mlops
EDA
Python
SQL
Pandas
NumPy
Git
MLflow
mathematics
Optimization
Statistics
Probability
Linear Algebra
research
SOTA Implementation
Fine-tuning
Technical Writing
experience
ML Engineer & R&D
Jan 2023 — Present
Upskills
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AI Research Scientist
May — Nov 2022
Crédit Agricole — DataLab
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Quantitative Analyst
Mar — Aug 2021
Arval BNP Paribas
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Research Intern
Aug 2020 — Mar 2021
SYSNAV
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Research Student
Mar — Apr 2020
LFV (Swedish Air Navigation)
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education
MSc Applied Mathematics, Data Science
2018 — 2022
CentraleSupélec — Paris-Saclay
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Classes Préparatoires MPSI/MP
2015 — 2018
Lycée Ibn Abdoun
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