About Me
I am a second-year (master's) student at Sup Galilée, Sorbonne University with a passion for problem-solving and machine learning research, particularly theoretical topics such as statistical learning theory, geometric deep learning, and training dynamics. I am also particularly interested in AI applied to healthcare. I am a naturally curious person who appreciates innovation, creating, and discovering new things. I am also seeking a 2 to 4-month research or other internship in AI/Machine Learning starting in May 2026!
Extracurricular Activities
I love learning and creating things, and I am actively involved in my school's robotics club. I participated in the Coupe de France de Robotique 2025, where over several months, my team and I developed and built robots together.
Currently I am Learning...
🇨🇳 Chinese
I've started learning Chinese as I'm deeply interested in Asian culture, particularly Chinese traditions and language.
🇮🇹 Italian
I resumed studying Italian recently. My student job pushed me to learn Italian to interact more with clients, and I developed strong interest in languages.
I am a sports person who loves training
My Values
Curiosity
Resilience
Innovation
Collaboration
Creativity
Balance
Growth
Integrity
Passion
Adaptability
Empathy
Perseverance
Education
Sup Galilée, Sorbonne University
Bachelor Years 1 & 2
Mathematics:
Linear Algebra and Multilinear Algebra
Real Analysis (Asymptotics, Differential Calculus, Integration...)
Physics:
Classical Mechanics (Newtonian)
Thermodynamics
Computer Science:
Data Structures and Algorithms (C)
Automata and Complexity Theory
Sup Galilée, Sorbonne University
Bachelor Years 1 & 2
Mathematics:
Linear Algebra and Multilinear Algebra
Real Analysis (Asymptotics, Differential Calculus, Integration...)
Physics:
Classical Mechanics (Newtonian)
Thermodynamics
Computer Science:
Data Structures and Algorithms (C)
Automata and Complexity Theory
Mathematics:
Linear Algebra and Multilinear Algebra
Real Analysis (Asymptotics, Differential Calculus, Integration...)
Probability Theory and Statistics
Differential Equations (ODEs and PDEs)
Group, Ring, and Field Theory
Numerical Methods and Scientific Computing
Physics:
Classical Mechanics (Newtonian)
Thermodynamics
Electromagnetism and Optics
Computer Science:
Data Structures and Algorithms (C)
Automata and Complexity Theory
Imperative Programming, Game Theory and Graph Theory
Algorithm Design
Algebraic Methods for Computer Science
Graphical User Interface Design and Development
Sup Galilée, Sorbonne University
Bachelor Year 3
Mathematics:
Probability Theory (Random Variables, Distributions, Limit Theorems...)
Data Analysis and Data Science (Python, Excel)
Computer Science:
Computer Architecture and Organization
Local Area Networks and Low-Level Network Protocols
Sup Galilée, Sorbonne University
Bachelor Year 3
Mathematics:
Probability Theory (Random Variables, Distributions, Limit Theorems...)
Data Analysis and Data Science (Python, Excel)
Computer Science:
Computer Architecture and Organization
Local Area Networks and Low-Level Network Protocols
Mathematics:
Probability Theory (Random Variables, Distributions, Limit Theorems...)
Data Analysis and Data Science (Python, Excel)
Measure Theory
Statistical Theory (Estimators, Introduction to Statistical Learning Theory...)
Computer Science:
Computer Architecture and Organization
Local Area Networks and Low-Level Network Protocols
Algorithm Design and Analysis
Graph Algorithmics
Advanced Data Structures and Programming
Formal Logic and Proof Systems
Formal Language Theory
Object-Oriented Programming in Java (OOP)
Web Development and Programming
Programming Language Semantics
Database Systems
Operating Systems
Advanced Data Structures and Algorithms
Sup Galilée, Sorbonne University
Master 1
Mathematics:
Probabilistic Methods for AI (Markov Processes, Monte-Carlo Methods, Bayesian Inference, MCMC)
Linear Optimization
Computer Science:
AI Programming (Neural Networks, Machine Learning)
Algorithmic Complexity Theory
Project Management:
6-Month Industry Project (Client Relations, Project Planning, Team Leadership, Agile Methodologies, Deliverables Management)
Sup Galilée, Sorbonne University
Master 1
Mathematics:
Probabilistic Methods for AI (Markov Processes, Monte-Carlo Methods, Bayesian Inference, MCMC)
Linear Optimization
Computer Science:
AI Programming (Neural Networks, Machine Learning)
Algorithmic Complexity Theory
Project Management:
6-Month Industry Project (Client Relations, Project Planning, Team Leadership, Agile Methodologies, Deliverables Management)
Mathematics:
Probabilistic Methods for AI (Markov Processes, Monte-Carlo Methods, Bayesian Inference, MCMC)
Linear Optimization
Combinatorial Optimization
Computer Science:
AI Programming (Neural Networks, Machine Learning)
Algorithmic Complexity Theory
C++ Programming
Logic Programming
System Administration
Internet Networks and Protocols
Advanced Database Systems
Functional Programming
Symbolic Learning Theory
Project Management:
6-Month Industry Project (Client Relations, Project Planning, Team Leadership, Agile Methodologies, Deliverables Management)
Skills
Programming Languages
Python (REST API)
C (System Programming, Memory Management)
C++ (CUDA)
Java (OOP, Design Patterns)
R (Statistical Analysis, Data Viz)
SQL
TypeScript
Data Science & ML Tools
PyTorch
TensorFlow
NumPy, Pandas
Matplotlib, Seaborn
Scikit-learn
OpenCV
PySpark
Keras
AI/ML & Data Concepts
Machine Learning
Deep Learning
Reinforcement Learning
Statistical Learning Theory
Data Analysis
Data Visualization
Model Optimization
Neural Networks
Soft Skills
Scientific curiosity
Research and experimentation
Complex problem solving
Analytical thinking
Technical writing
Rigor and methodology
Teamwork and collaboration
Proactive approach
Experience
AI Engineer Intern
Stellantis
April 2026 - September 2026
- Designed and implemented an internal application to optimize vehicle sales workflows and support data-driven prioritization across the enterprise.
- Developed machine learning algorithms to improve data quality, feature engineering, and predictive modeling for sales pipeline and demand analytics.
- Partnered with business stakeholders to align model outputs with operational constraints and iterate on deployment for measurable sales-enablement impact.
Mathematics and Computer Science Tutor
Volunteer · Sorbonne University, Paris, France
September 2023 - Present
- Private tutoring: tutoring students in classes préparatoires (preparatory classes) twice a week, communication, advice, explanations, and personalization of sessions.
Advanced Program in Generative AI (AI/ML)
Oxford Machine Learning Summer School · Remote
July 2024
- Followed the "Representation Learning and Generative AI" program (22 hours of advanced courses and practical workshops).
- In-depth learning of generative model concepts (generative AI), including Large Language Models (LLMs).
- Study of signal processing techniques, deep learning, comparison between human and machine behaviors.
Software Engineer Intern
DSI DRASI Académie de Paris
April 2024
- Developed and maintained internal web tools used by 3,000+ academic staff, improving system reliability.
- Applied software engineering practices including debugging, version control, and basic testing on Python-based backend services supporting internal data workflows.
- Contributed to data-driven internal tools and monitoring workflows supporting operational decision-making.
Software Engineer Intern
HSBC
December 2017
- Discovered IT infrastructure in a financial environment
- Observed financial data management systems
- Learned about cybersecurity practices in banking
- Explored IT support processes in a corporate setting
