Erwan

Erwan DAVID

Machine Learning engineer

CentraleSupélec

(last update June 2025)




🎓 Future graduate in December 2025 (CentraleSupelec - Arts et Métiers), I work on applied Machine Learning and research, with a strong interest in LLM, computer vision, algorithmic biases, fairness and reinforcement learning.

My double engineering degree has enabled me to develop a solid dual skill set:

  • Research in AI/ML (currently doing a final year internship on embedders with a bias/equity focus).
  • Moving from ideas and modeling to concrete, deployable solutions.

📩 Looking forward to exchanging and collaborating to create something extraordinary together! 🫡



Education



CentraleSupélec - engineering school of Paris-Saclay

2023 - 2025 Gif-sur-Yvette - France

I am in the third and final year of my dual degree at the engineering school CentraleSupélec (Grandes Écoles Program), a general engineering institution where I chose the Artificial Intelligence specialization, along with a focus on Consulting, to explore opportunities in strategic consulting, research, or development.

I study specifically:
  • Supervised and unsupervised learning (random forests, SVM, hierarchical classification, etc.)
  • Deep learning (dense, convolutional, recurrent networks, GAN, transfer ...)
  • Reinforcement learning
  • Multi-agent systems
  • Natural language processing
  • Explicability of AI systems
  • Finance
  • Case studies in strategy consulting
Before that, I also studied:
  • Statistics and probability
  • Programming, algorithms and complexity
  • Engineering sciences and physics

GPA : 3,9
Student organization : I am a member of Automatants, the AI student association at CentraleSupélec.

Specialization in Machine Learning

3 months in 2022 through Coursera

In parallel to the courses at Arts et Métiers, I took Andrew Ng's online Machine Learning course:


Arts et Métiers ParisTech - Institute of Science and Technology

2021 - 2023 Lille - France

The Arts et Métiers engineering school is specialized in mechanical engineering, energy engineering, industrial engineering and production engineering for the industry 4.0.

In particular, I studied:
  • Computer systems and projects in Artificial Intelligence
  • Solid mechanics
  • Materials science
  • Energy transfers
  • Mechanical engineering
  • Processes and means of production
  • Sensors, actuators and electrical energy conversion
  • And mathematical tools for engineering.

GPA: 4
Grade: A
Overall ranking: 9th out of 1 1175 students
Student organization: I was treasurer of the residence's internet association (AMnet) and a member of the group responsible for security at events (CQ).

College Sainte-Geneviève

2019 - 2021 Versailles - France

Intensive program preparing for competitive entrance examinations to top engineering schools. I studied in particular:

  • Mathematics, Physics, Engineering Sciences

GPA : 3.79
Grade : A

High School Félix Le Dantec

2016 - 2019 Lannion - France

French scientific Baccalaureat with concentrations in English-language European section

  • Mathematics speciality
  • High honors distinction



Internships


neural network
Research internship - 2025
Research internship at ILLS Mila in Montreal

I'm doing a 6-month research internship in Machine Learning at the ILLS laboratory (International Laboratory on Learning Systems), a joint AI laboratory between Mila, McGill, ETS, CentraleSupélec, CNRS and Paris-Saclay University.

I am developing a method for assessing the biases and fairness of embedding models, based on the Fairness AI literature. My work combines reading scientific papers, writing theoretical equations, designing algorithms and implementing them experimentally in Python.
I am carrying out this research work in collaboration with machine learning and algorithmic biases researchers Pablo Piantanida and Ulrich Aïvodji.

simulation multi-agents
Research internship - 2024
Research internship in Aalto, Finland

For 3 months, from June to August 2024, I did a research internship in AI with genetic algorithms at the Computer Science Department at Aalto University in Helsinki.

I used Python to simulate the natural evolution of a hostile ecosystem. Individuals are controlled by artificial neural networks and evolve through genetic mutations. They must learn to develop individual and group strategies to survive in this environment.
This research work was carried out in collaboration with machine learning and neurosciences researcher Stéphane Deny.

details on GitHub
accident density map
Engineering internship - 2022
Internship at Sopra Steria Next

At the end of my 1st year at Arts et Métiers, I did a 4 weeks engineering internship at Sopra Steria Next, an IT consulting firm.
As part of a project to visualize road accidents for the Ministry of the Interior, I programmed in Python:

  • an algorithm for computing surface density (KDE)
  • a clustering algorithm (DBSCAN) with the SKlearn library


Projects

My projects are detailed on GitHub. Here is an extract from the projects I carried out during my degree.


Volunteering


Help Out bénévole
Volunteering 2023-2024
Help Out - volunteer

I participate in outreach activities to help the homeless, providing them with hot drinks, blankets, a listening ear, and kind words. The outreach takes place during the cold season, mainly in autumn and winter.

Arpej 78 volunteer tutor
Volunteering 2019-2021
ARPEJ 78 - Volunteer trainer

I've worked with high-school and middle-school students with academic difficulties. I helped them review their lessons and do their homework in Maths, Physics, English and History-Geography. My aim was to give them self-confidence and to develop their autonomy

La main à la pâte volunteer tutor
Volunteering 2021-2022
La main à la pâte - Volunteer trainer

Thanks to my background, I was able to help school and college teachers to teach and inspire their students to love science and technology. My aim was to develop their curiosity and critical thinking skills by leading classes or practical sessions.




Skills

  • Artificial Intelligence (AI)
  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
  • Neural networks
  • Genetic algorithms
  • Recommanders
  • Decision trees



  • Coding
  • Python (Keras, PyTorch, Numpy, Random, Matplotlib, Pyqtree ...)
  • Git & GitHub
  • C#
  • Web (HTML, CSS, Bootstrap)


  • Other
  • Catia 3DEXPERIENCE
  • SolidWorks
  • Excel

Language level

  • French
  • Native language


  • German
  • B1 level
  • Japanese
  • A1 level

My interests

  • Swimming (in club) and running (half-marathon)
  • Scuba diving (level 1)
  • Coding
  • Strategic board games
  • Competitive video games