Machine Learning Researcher

Data Science Master's student at EPFL. I focus on machine learning research, and want to engineer solutions that matters.

See my LinkedIn profile
Data Science Master's student at EPFL. I focus on machine learning research, and want to engineer solutions that matters.
See my LinkedIn profile
I am also a game developer, creating indie games. I like exploring new game mechanics that challenge players.
See my Itch.io profile
I maintain and contribute to machine learning, games, and software projects on GitHub, both academic and personal.
See my GitHub profile
2022 - 2025
Currently pursuing a Master's degree in Data Science at EPFL, focusing on research and scientific fundamentals in AI and machine learning.
Grade - 5.56/6.00 (to date)
2020 - 2022
Completed a Bachelor's degree in Computer Science at HES-SO Arc Ingéniérie, specialized in Software & Full Stack Development.
Award - Top Student of the entire school (Valedictorian)
Grade - 5.73/6.00
2019 - 2020
Completed a Bachelor's degree in Engineering at UTBM, focused in foundational skills in Engineering and Computer Science.
Award - DEUTEC Prize for the Best Students
Grade - 5.06/6.00
Feb 2025 - Present
Researched few-shot vision models that mimic human visual learning to improve generalization from limited supervision.
Feb 2024 - Feb 2025
Built a 3D ViT foundation model for spinal MRI scans, enabling accurate patient-specific spinal cord reconstruction for surgical planning.
Sep 2023 - Feb 2024
TA for CS-214 Software Construction, guiding 500+ students through complex programming concepts and practical assignments.
May 2022 - Jul 2022
Developed a real-time object tracking autopilot for JetRacer cars using autonomous target following.
Built a system to answer questions about EPFL legal documents using Retrieval-Augmented Generation (RAG). Combined semantic search, FAISS-based vector indexing, and real-time retrieval via LangChain. Designed custom prompts and agents to produce context-aware, grounded answers, making complex legal content more accessible.
Based on LangChain, FAISS & OpenAI APIs
Developed a foundation model for spinal MRI reconstruction to support surgical planning. Used a self-supervised 3D Masked Autoencoder architecture (based on Vision Transformers) to learn detailed anatomical features from unlabeled data, which were fine-tuned for spinal root segmentation and artifact correction.
Based on ViT Masked Autoencoders
Created an AI tutor that explains STEM concepts interactively. Fine-tuned a language model using PEFT, SFT, DPO, and RLHF techniques to improve alignment with academic standards and student expectations. Delivered accurate, step-by-step solutions to support autonomous learning.
Based on OpenAI GPT2
Built deep learning models to decode arm movement intentions from ECoG brain signals. Explored architectures like EEGNet and CEBRA to capture motor dynamics, contributing to neurotechnologies for spinal cord injury rehabilitation.
Based on EEGNet & CEBRA
Built a real-time object tracking and autopilot system for JetRacer cars using SSD on NVIDIA Jetson. Combined computer vision with PID control to follow a lead vehicle, enabling stable autonomous navigation in dynamic environments.
Based on NVIDIA Jetson-Inference & SSD
Designed a relaxing factory-building game where players automate furniture production. The game evolves from structured tasks to a creative sandbox, with unlockable buildings and mechanics. Built entirely from scratch, including code, gameplay design, and pixel art.
Based on Shapez.io & Factorio
2022 - Present
Managed IT infrastructure for Switzerland's largest inter-university sports tournament, enhancing the event platform and developing a mobile application to improve the user experience for 800+ participants. Also, oversaw real-time coordination of the volleyball tournament, ensuring efficient logistics and communication.
2020 - 2022
Led a youth group in weekly sessions focused on building independence, teamwork, and leadership through group projects and community activities. During summer camp, we lived outdoors in challenging conditions, where the group applied these skills in real-life situations, managing daily life, teamwork, and shared responsibilities.