CV

Education, professional experience, publications, projects, and technical skills.

Contact

Name	Mouloud Merbouche
Title	MVA Student · ENS Paris-Saclay
Email	mouloud.merbouche [at] ens-paris-saclay [dot] fr

Education

Master's programme

ENS Paris-Saclay

Mathématiques, Vision, Apprentissage (MVA)

2026 – 2027 · Paris, France
Diplôme d'Ingénieur (Master's)

ISEP

Artificial Intelligence

2023 – 2026 · Paris, France
- Probability & Statistics: 20/20 (Rank 1/300+)
- Optimization & AI: 18/20 (Rank 1/60)
- Computer Vision: 17/20 (Rank 1/60)
- Machine Learning: 18.14/20; Algorithms & Programming: 18.31/20; Advanced Deep Learning: 17.55/20
International exchange

Sirindhorn International Institute of Technology, Thammasat University

Exchange semester

2026 · Thailand

Overall grade: 20/20
Engineering preparatory cycle

ISEP

International Integrated Cycle

2021 – 2023 · Paris, France
- Selected by ISEP as student representative for an exchange semester at HELHa.

Experience

IT Project Engineer Apprentice

TotalEnergies

2024 – 2026 · Courbevoie, France
- Led functional testing for a documentary database tool and coordinated users and development teams.
- Managed bug tracking and delivery quality.
- Built an automation tool that converted a complex manual workflow into a reliable algorithmic process.

Publications

Improving Fast Density Peak Clustering Using Mass Distance: m-FDPC

Mouloud Merbouche, Célia Tso, Jérémie Sublime

Journal of Electronic & Information Systems

2025

Projects

3D Foveal Pit Modeling from OCT

Mougli1/oct-foveal-pit-modeling Jupyter Notebook
Computer Vision module, ISEP (2024–2025)

3D reconstruction of the foveal pit from retinal OCT scans, from DeepLabV3+ layer segmentation (F1 > 0.85) to parametric surface fitting (R² 0.92).
- Python
- PyTorch
- OpenCV
- Medical imaging
Pipeline steps — click to enlarge.
Dynamic Modeling & Identification of a 4-DOF SCARA Manipulator

Mougli1/manipulator-dynamic-modeling MATLAB
Robotics module, ISEP (2025–2026)

Symbolic Lagrangian model of a 4-DOF SCARA arm, base parameters identified from measurements on the robot, then computed-torque control.
- MATLAB
- Symbolic Math
- Robot dynamics
- Parameter identification
m-FDPC — Mass-based Distance for Fast Density Peak Clustering
Publication code
Mougli1/IX.2408 Python
Research code, supervised by Jérémie Sublime

Fast Density Peak Clustering with a mass-based dissimilarity in place of the Euclidean distance — the implementation behind the paper.
- Python
- NumPy
- Clustering
- Unsupervised learning
Read the paper (J. Electron. Inf. Syst., 2025)

All repositories on github.com/Mougli1

Skills

Programming (Advanced)

Python
MATLAB

Machine Learning (Advanced)

PyTorch
TensorFlow
Scikit-learn
Hugging Face

Data & Vision (Advanced)

NumPy
Pandas
OpenCV

Tools

Git
Docker

Languages

French : Native

English : Fluent