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Hack’cessibility
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Last saved: October 11 at 7:20 PM CEST
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Leo Lopes Team Lead RSVP Approved
AI Student at Epita
Léo contributed significantly to the implementation of voice input, experimenting with various approaches to improve recognition accuracy and responsiveness. He also worked on integrating video files as input, ensuring compatibility with the system’s processing pipeline. Beyond that, he supported the integration of image inputs, collaborating closely with teammates to streamline the data handling process.
Final-year EPITA student, looking for an AI internship from February 2026. Versatile in NLP, Computer Vision, and recommender systems, I’m eager to turn these skills into meaningful impact.
Machine Learning, Deep Learning, Reinforcement Learning, Computer Vision, Natural Language Processing,
GoEmotions – Emotion Classification & Text Generation
Emotion classification and LLM text generation on the GoEmotions dataset,
with results close to Google AI’s benchmark.
Kuaishou Video Recommendation Systems
Video recommendation on the Kuaishou dataset using collaborative filtering, matrix factorization (ALS)
and Autoencoders.
MRI Radiomics for Uterine Cancer Prognosis
Segmentation of pelvic MRI scans, extraction of radiomic features, and machine learning–based prediction
of cancer treatment.
Eugénie Beauvillain RSVP Approved
Student at EPITA
Eugénie focused on developing audio output features and worked on building a front-end interface using Vite. Although time constraints prevented the full implementation of session-based endpoints, her work laid the foundation for future integration between the front-end and back-end. She also explored the feasibility of adding video input, contributing to the project’s broader vision of multimodal interaction.
I'm Eugénie, a fifth-year student at EPITA, specializing in AI and Data Science with a focus on Computer Vision
I am particularly interested in computer vision, machine learning, and their applications in healthcare and real-world problem solving. I’m eager to explore advanced techniques in medical imaging, NLP, and scalable AI systems. I’m also keen to connect with researchers and professionals working on innovative AI solutions, data engineering, and full-stack development projects.
I am currently working on cancer research in partnership with a lab, developing ML pipelines for tumor classification and staging by combining clinical data with radiomics. I’ve also been implementing and testing methods from recent research papers, focusing on MRI segmentation with PyTorch and MONAI. This hands-on exploration helps me deepen my understanding of state-of-the-art techniques while contributing to practical healthcare applications.
Yanis Martin RSVP Approved
Student at EPITA
Yanis explored a variety of models with different parameters to determine optimal configurations for performance and efficiency. He designed and refined prompt structures, improving the consistency and quality of generated outputs. Furthermore, he experimented with several agent architectures, helping the team better understand how model coordination affects the overall system behavior.
I'm a student in AI
Ai
Ai
Charles Prioux RSVP Approved
Student at EPITA
Charles played a key role in resolving the ollama_chat issue by identifying missing dependencies and integrating Pillow and related artifacts. He also led the migration process to Ollama, ensuring greater stability and compatibility with the new setup. In addition, he implemented image support and began experimenting with audio input to extend the system’s multimodal capabilities.
Fifth-year student at EPITA, specializing in Artificial Intelligence and Machine Learning. I am looking for a 6-month end-of-studies internship (starting February 2026) to contribute to innovative AI projects, in France or abroad.
NLP, Computer Vision, ML, Dl, RL
Final Year project with french army minister.
Simon Riou RSVP Approved
Student at Epita
Simon implemented both the Loop Agent and the Sequential Agent, two key components designed to improve the coordination and flow between different system modules. His work focused on creating modular, reusable agent architectures that enhanced flexibility and control. He also contributed to testing and refining these agents to ensure their reliability under different task scenarios.
I am a final year student at Epita and in a double cursus at Sorbonne University and currently looking for opportunities. My focus is on computer science and AI, where I combine coursework with hands-on projects to strengthen my skills in software and intelligent systems.
Interested in Deep Learning, machine learning and computer vision, looking to enter a research lab (public or private)
Software engineer specialized in high-performance C++, CUDA (Experience: Intern at CNRS, worked on Holovibes)
Skills in machine learning and deep learning through several projects in PyTorch and Scikit-learn, including implementing ViT, Diffusion model (DDPM), classical pipeline of machine learning project