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Jules Giraud

I'm |

Welcome to my website! Here you'll find a glimpse of my work and projects in AI and Computer Vision. I'm always open to discussing technology, sharing insights, or exploring interesting opportunities. Feel free to explore and get in touch if you'd like to connect!

Jules Giraud

About Me

I am a Computer Vision and Machine Learning Engineer, holding a Master's degree in Artificial Intelligence from CentraleSupélec and an Engineering degree from the Institution Catholique des Arts et Métiers (ICAM) in Lille.

Currently, I work as Head of Data at Alta Ares, where I manage and lead a team focused on developing AI models for real-time video processing applications. We maintain and enrich our data infrastructure to support advanced computer vision systems designed for specialized operational environments.

Beyond my professional career, I've been playing field hockey since I was 4 years old. This sporting journey has been incredibly formative and full of experiences. I currently play for the Racing Club de France (RCF) in Versailles, in the ELITE team.

My Projects & Side Projects

Here's a selection of projects I've worked on, from student projects to professional ML systems and SaaS products I've built. Each one represents different challenges and showcases skills or interests across various domains.

Freelance - Car License Plate Segmentation and Replacement

This project (for Tec3H) involved the development of a sophisticated deep learning system for the segmentation and replacement of car license plates. Utilizing advanced computer vision techniques, we successfully identified and processed license plates in various conditions. The project not only showcased my ability to deliver high-quality results but also emphasized the importance of thorough documentation and reporting. I received positive feedback for my responsiveness and understanding of client needs, making this a standout project in my portfolio. For more details, feel free to check my Malt profile.

Computer VisionDeep LearningSegmentationPyTorchOpenCV

Freelance - Car Part Classification

This project was developed for Tec3H company, focusing on refining and enriching their data. I worked on creating and curating datasets for car part classification, then developed and trained classification models to accurately identify different car parts. The models were successfully deployed and integrated into their system, enabling automated classification of car components. This project highlighted my expertise in data engineering, model development, and production deployment.

Computer VisionDeep LearningClassificationData EngineeringPyTorchDataset Creation
Real-time Hockey Player Detection & Tracking

Real-time Hockey Player Detection & Tracking

An AI proof of concept for real-time player detection and tracking in hockey matches using YOLO and ByteTrack. This project aims to provide teams without dedicated video analysts with advanced live stats and insights into gameplay.

Deep LearningComputer VisionObject TrackingSports AnalyticsPyTorchByteTrack
Flood Detection in Time-Series Analyzing SAR

Flood Detection in Time-Series Analyzing SAR

A laboratory project conducted in collaboration with Kayrros and CentraleSupélec MSc AI focusing on flood detection and prediction using synthetic aperture radar (SAR) images.

Deep LearningComputer VisionTime-Series AnalysisSatellite ImagerySARPyTorch
SaaS - Quizzy App - Instant Answers to Your Exam Questions

SaaS - Quizzy App - Instant Answers to Your Exam Questions

A SaaS project, Quizzy App provides instant answers to exam questions through screenshot or text selection. Built to learn JavaScript, React, Next.js, and Tailwind, it integrates various APIs (OpenAI, Anthropic, Mistral) and utilizes AWS for image storage.

SaaSReactNext.jsTailwindAPI IntegrationAWS
Computer Vision Research on Microscopic Images

Computer Vision Research on Microscopic Images

Master's Thesis - Detection and classification of biological cells in microscopic images using deep learning techniques (TensorFlow, Keras, PyTorch & YOLO). Implemented the detection model on a Raspberry Pi for integration into a portable machine.

Deep LearningComputer VisionTensorFlowKerasPyTorchYOLORaspberry Pi

Skills & Technologies

I work with a variety of technologies and tools in computer vision and machine learning. Here are some of the key skills in my technical toolkit:

Languages & Programming

Python

JavaScript

SQL

ML & Computer Vision

PyTorch

TensorFlow

Keras

scikit-learn

OpenCV

ONNX

DevOps & Tools

Git

GitHub

Docker

MLflow

Linux

Bugs

Cloud Platforms

AWS

Google Cloud

Let's Connect

Always open to discussing AI, computer vision, drones, and related technologies. Whether you want to share insights, explore ideas, or have questions about my work, feel free to reach out.