Hi, I'm Yanis

Machine Learning Engineer

Recently graduated in Computer Science @ Sorbonne Université . Previously interned at @ ISIR in Paris, France. Throughout the 10+ years I've been coding, I've made some pretty cool projects , and I'm always working on improving and learning more.

Notable projects

TD-MPC

AIPythonMachine LearningReinforcement Learning
Rebuilt TD-MPC, reproducing the reported sample efficiency.

Ray Tracer

C/C++Computer GraphicsCuda
Implemented a 3D rendering engine based on path tracing.

Edwin

AIPythonMCPLangChain
Developing an open-source personal agent capable of interacting with both the computer and the web.

EDUCATION

Master’s Degree in Computer Science - Track ANDROIDE (Distributed Agents, Robotics, Operations Research, Interaction, Decision)
Sorbonne Université (Ex. UPMC)

September 2023 - September 2025
  • Machine Learning, Deep Learning, Reinforcement Learning, Computer Vision, and more.

Bachelor's Degree in Computer Science
Henri Poincaré University (Nancy-I)

September 2020 - July 2023
  • Linear Algebra, Probability & Statistics, Optimization, Data Structures, Algorithms, and more.
10% of the class

EXPERIENCE

Research Scientist Intern
ISIR

February 2025 - September 2025
  • Identified gaps in multi-agent Reinforcement Learning and Vision-Language-Action (VLA) literature.
  • Designed and trained Vision-Language-Action (VLA) embodied models using Python and PyTorch.
  • Built and evaluated multi-agent learning setups to compare VLA models against traditional RL policies.
Under 5M params

Research Scientist Intern
LORIA

April 2023 - June 2023
  • Designed and conducted an experimental study with 100 participants, collecting synchronized multimodal data (EEG and motion tracking) across 300 Rock–Paper–Scissors games.
  • Developed Python data pipelines (NumPy, Pandas) for cleaning, synchronizing, and analyzing datasets.
  • Implemented predictive models to anticipate human actions, achieving a 60% win rate.
  • Integrated the trained models into a humanoid robot system using C/C++ for real-time inference.
Outperforms humans100+ participants300+ played games

Cryptanalyst Intern
INRIA

August 2022 - September 2022
  • Deciphered a 1546 diplomatic letter written in Middle French using cryptanalysis techniques.
  • Translated plaintext sections for contextual analysis, reviewed historical encryption techniques, catalogued cipher symbols, and digitized the complete manuscript for systematic cryptanalysis.
  • Developed Python-based cryptanalysis tools using NumPy for pattern analysis and hypothesis testing.
Successfully decryptedTranslated without painkillers :)