Mélissa Colin
Artificial Intelligence Student
I'm an engineering student in computer science at ENSEIRB-MATMECA, specializing in AI applied to computer vision. I explore and enhance systems to make them more interpretable and reliable—or design new ones altogether.
22 years old
Engineering Student
ENSEIRB-MATMECA
About Me
I am currently a computer and artificial intelligence engineering student at ENSEIRB-MATMECA in Bordeaux, following the engineer-doctor pathway with a clear ambition to pursue AI research.
An Unconventional Journey Driven by Passion
My passion for computing began very early. At 12 years old, I discovered Scratch; at 13, I taught myself Python; and by 15, I enrolled in a technical high school. I quickly realized that what fascinated me most was algorithms, more than web development or game creation. I experimented for a while—robotics, development, Arduino projects—before finding a true calling in artificial intelligence.
That spark came during an AI internship at Cali Intelligences, a startup specializing in computer vision and AI. It was a revelation. I then threw myself wholeheartedly into AI studies, determined to actively contribute to its advancement, especially through designing and refining deep learning model architectures.
A Determination to Pivot and Excel
Originally enrolled in a practice-oriented program, I made the bold decision to transition to academia to strengthen my theoretical foundation in mathematics and algorithms. I joined ENSEIRB-MATMECA, renowned for its academic rigor and its computer science track, despite numerous doubts surrounding my application. My determination paid off: I was admitted on merit, proving that motivation and self-learning can stand shoulder to shoulder with the most traditional paths.
Expertise & Skills
A broad set of both technical and interpersonal skills, with a focus on explainable AI and computer vision.
Deep Learning & Computer Vision
CNNs, ViTs, Transformers, attention mechanisms, encoder-decoder architectures
Programming Languages
Python, C, JavaScript, R, SQL
Data & AI Frameworks
OpenCV, PyTorch, TensorFlow, NumPy, Pandas, scikit-learn
MLOps & Deployment
Docker, Kubernetes, Kubeflow, optimized training pipelines
Explainable AI (XAI)
LIME, SHAP, Grad-CAM, interpretability techniques
Research & Communication
Scientific writing, technical presentations, knowledge dissemination
AI Law & Ethics
GDPR compliance, AI Act, AI ethics, algorithmic bias, system accountability
Interpersonal Skills
Curiosity, organization, adaptability, leadership, teamwork
Languages Spoken
French (native), English (fluent), Chinese (beginner)
Notable Achievements
- • Author of a first scientific publication at age 20, presented at PFIA 2024
- • Organizer of the networking session at AI4Industry, and moderator of a roundtable on post-PhD opportunities
- • Published an in-depth explainer on YOLOv8 on Medium
- • Vice-president of the Ingenib recruitment forum at ENSEIRB-MATMECA