CV

Education

1. 

   Master's programme Mathématiques, Vision, Apprentissage (MVA)

   ENS Paris-SaclayParis, France

   2026–2027 Current

2. 

   Diplôme d'Ingénieur (Master's) Artificial Intelligence

   ISEPParis, France

   2023–2026 Graduated

   • HonoursExcellent
   • Probability & Statistics20/20rank 1/300+
   • Optimization & AI18/20rank 1/60
   • Computer Vision17/20rank 1/60
   • Machine Learning18.14/20rank N/A
   • Algorithms & Programming18.31/20rank N/A
   • Advanced Deep Learning17.55/20rank N/A
   1. 

      International exchange Exchange semester

      Sirindhorn International Institute of Technology, Thammasat UniversityThailand

      Feb–Apr 2026

      • Overall grade20/20
3. 

   Engineering preparatory cycle Mathematics / Physics

   ISEPParis, France

   2021–2023

Publications

1. JEIS

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

   Mouloud Merbouche, Célia Tso, Jérémie Sublime

   Journal of Electronic & Information Systems

   Aug 2025

   DOI HTML PDF Code

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

  

• 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)

Experience

1. 

   IT Project Engineer Apprentice

   TotalEnergiesCourbevoie, France

   2024–2026

   • 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.

Skills

• Programming

  Advanced

  • Python
  • MATLAB

• Machine Learning

  Advanced

  • PyTorch
  • TensorFlow
  • Scikit-learn
  • Hugging Face

• Data & Vision

  Advanced

  • NumPy
  • Pandas
  • OpenCV

• Tools

  • Git
  • Docker

Languages

• FR FrenchNative
• EN EnglishFluent