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.

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