Corentin Perdrizet

AI Engineer & Data-Scientist

01.

About Me

French Artificial Intelligence Engineer graduated from ENSEIRB-Matméca , Bordeaux graduate school of engineering.

I specialize in machine learning, deep learning, computer vision, and natural language processing. I have developed AI systems ranging from satellite image recognition models to optimization systems for emergency services.

Developed Skills:

Python

TensorFlow

PyTorch

Machine Learning

Deep Learning

Reinforcement Learning

Natural Language Processing

Large Language Model

Java

Javascript

Typescript

C++

SQL

HTML

CSS

View my Resume

02.

Education

2025

2022

Engineering School in Computer Science

Enseirb-Matmeca, Talence

Engineering degree in Computer Science specialized in Artificial Intelligence and Data Science.

Algorithms, Programming, Data Science, Engineering, Artificial Intelligence

Preparatory Classes for Engineering Schools

Lycée Camille-Jullian, Bordeaux

Intensive undergraduate course in mathematics and physics (MPSI-MP Track).

Analysis, Algebra, Physics, Engineering Science

2022

2020

2020

2017

Scientific Baccalaureate

Lycée Nord Bassin - Simon Weil, Andernos-Les-Bains

Scientific Baccalaureate with a Mathematics option

03.

Professional Experience

Intern - Data Science & AI Engineer

Thales – Singapore
May 2025 - November 2025

Developed an AI-driven modular optimization system for emergency services. Designed response time prediction models and resource allocation strategies using operational and public datasets. Conducted exploratory and explanatory data analysis to understand spatio-temporal dynamics of incidents and provide decision-support insights.

Intern - AI Engineer

Scalable Software System Group - Technische Universität Berlin
July - September 2024

Development of AI models for low-earth-orbit satellites:
Developed, deployed, and tested lightweight image recognition models enabling autonomous operation on low-resource devices without a remote server. These models allow satellites to detect critical images, such as wildfires or climate change progression, and transmit them to Earth.

Other Work Experience

Private Tutor Kitchen Assistant Sales Assistant Pizzaiolo Dishwasher McDonald's Employee Town Hall Employee

04.

Portfolio

Alzheimer Detection from Brain MRI

Developed a method to detect Alzheimer stages using 3D brain MRI, leveraging U-Net architectures and strategies such as 2D slices and 3D patches.

TensorFlow, Deep Learning, Computer Vision, CNN, U-net, 2D/3D Processing

Nematode Detection for Pine Preservation

Developed a computer vision model to detect and count nematodes in microscopic samples to monitor their spread and prevent pine destruction.

Computer Vision, TensorFlow, Deep Learning, Image Analysis

Machine Learning - Go Player

Developed a high-performance AI model to play the game of Go, integrating advanced search algorithms and machine learning techniques to analyze moves and optimize gameplay.

PyTorch, Machine Learning, Search Algorithm

Poetry Generation using Transformers

Developed an AI model to generate poetry by fine-tuning a Transformer-based architecture on a dataset of poems, leveraging advanced sequence modeling techniques for creative text generation.

Transformers, Text Generation, Fine-Tuning

Reinforcement Learning in Grid-Based Environments

Developed and implemented reinforcement learning algorithms for navigating grid-based environments with stochastic transitions and rewards.

Markov Decision Processes, SARSA, Q-Learning, Monte Carlo

Optimal Neural Network Hyperparameter Search

Developed a genetic algorithm to optimize hyperparameters of neural networks, improving model performance through evolutionary computation.

Genetic Algorithms, Hyperparameter Tuning, Machine Learning Optimization

Safe Route Recommendations for Micromobility

Developed a cross-platform application using data processing and multi-criteria optimization to recommend safer routes for bikes and scooters in urban areas.

Python, Java, SQL, JavaScript, Android, React

Game Development and Heuristics

Developed multiple games, including heuristics for two board games (Mansuba and Amazon) and a Tower Defense game.

C, JavaScript, HTML, CSS, Client/Server Architecture, Teamwork

Carpooling Project with Database Integration

Developed a relational database and interface for campus carpooling, covering data modeling, user management, trip planning, and feedback features.

SQL, PHP, HTML, CSS

Waste Collection Robot

Programmed and optimized the path of a waste-collecting robot to avoid obstacles.

Graph Theory, Path Weighting, Path Optimization

Numerical Algorithm Projects

A series of projects focused on numerical algorithms, including wave modeling, multi-link pendulums, wing pressure calculations, Lagrange points, among other complex problems.

Python, Analysis, Algebra, Applied Mathematics

Smooth Curve Fitting

A personal applied mathematics project presented at the University of Paris: Studied, designed, and implemented solutions using clothoid curves to minimize traffic accidents.

Applied Mathematics, Integral and Differential Calculus, Analysis, Python

05.