AI & Computer Vision Student
Theo Palagi
Student @Telecom Paris, Institut Polytechnique de Paris
Hello! I'm Theo, an Engineering Student from France, passionate about Artificial Intelligence and Computer Vision. I'm specializing in AI, Computer Vision, and Applied Mathematics. My current coursework includes Deep Learning, Generative Models, 3D/Video Vision, Object Recognition, NLP, Signal Processing, and ML Optimization. Welcome to my portfolio!
01.
About Me
Currently finishing my engineering degree at Telecom Paris, I've built a solid foundation in applied mathematics and computer science. My focus? Making machines see and understand the world around them through Computer Vision and Artificial Intelligence.
What excites me most is bridging the gap between theoretical research and practical applications. Whether it's detecting image forgeries, working with large language models, or diving into generative architectures, I'm always looking for problems where math and code can make a real difference.
Right now, I'm deepening my expertise through advanced coursework in Deep Learning, 3D/Video Vision, Object Recognition, NLP, and Signal Processing. Each project is an opportunity to push my understanding further.
Outside of code, you'll find me exploring new music, playing football, or hunting for the next interesting hackathon to join. I believe the best ideas often come from unexpected places.
02.
Notable Projects
View all projectsWhite Blood Cell Classification challenge
White blood cell classification from microscopic images (13 classes, 28.9k images). Classical ML pipeline (89 handcrafted features + GradientBoosting + SMOTE) and deep learning (ConvNeXt-Tiny, Focal Loss, MixUp/CutMix, TTA). IMA205 Challenge 2026.
Copy-Move Forgery Detection
Implementation of the PatchMatch algorithm adapted for automatic Copy-Move forgery detection in images. Robust pipeline including median filtering, error map and RMSE verification.
LLM-SSC
Web application for automatic topic extraction from text corpora. Uses BERTopic, SentenceTransformers and unsupervised clustering techniques to analyze YouTube comments or rap lyrics.
Education & Experience
Master of Science in Engineering
Télécom Paris - Institut Polytechnique de Paris
2024 — 2027Télécom Paris is a leading French engineering school specializing in computer science and telecommunications. Coursework includes Deep Learning, Generative Models, 3D/Video Vision, Object Recognition, NLP, Signal Processing, and ML Optimization.
04.
Get In Touch
I'm currently looking for new opportunities. Whether you have a question or just want to say hi, feel free to reach out!
Say Hello