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 also available as a freelancer and consultant for Data Science and Machine Learning projects. Feel free to explore and get in touch if you'd like to collaborate!
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.
At Trayvisor, I implement state-of-the-art deep learning methods to develop, optimize, and maintain AI models tailored for food visual analysis. I collaborate with teams to orchestrate ML pipelines and deploy these models into production-ready, scalable systems, enhancing the accuracy and efficiency of AI applications.
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 Tech3H) 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.
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.
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.
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.
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.
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:
Python
JavaScript
SQL
Git
PyTorch
TensorFlow
Keras
scikit-learn
OpenCV
ML Flow
Docker
Linux
GitHub
Google Cloud
AWS
Let's Connect
Open to freelance opportunities in AI and computer vision, but also happy to discuss projects, share insights, or answer questions about my work. Whether you have a specific project in mind or just want to connect, feel free to reach out.