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About

Data Science Master’s Student | Python, Machine Learning

Graduate of EPFL (BSc CS) and current Data Science Master’s student at ETH Zurich. My academic interests are centered on the advancements of Deep Learning in general and Deep Reinforcement Learning in particular. I am passionate about exploring how these methods can be applied to solve complex problems across diverse domains, ranging from autonomous systems to broader decision-making challenges. I combine this deep interest in AI with a strong foundation in software engineering, system-level development, and statistical analysis.

Skills

Applied Mathematics

Artificial Intelligence

Bayesian statistics

Big Data

Data Science

Machine Learning

Probabilistic Models

Open for

internship

parttime

cofounder

Work Experience

ETH robotics club

2025-09 - 2026-03

Workplace
Core Member | Research
Location

Zürich

Employement type

parttime

Implementation and evaluation of the RL-100 framework with diffusion-based policies for offline-to-online robotic reinforcement learning. Benchmarking on MuJoCo/D4RL locomotion and manipulation environments using IQL critics and consistency distillation. Sim-to-real deployment pipeline under development for the YAM Leader robotic arm developed by I2RT Robotics.

Academic Experience

École polytechnique fédérale de Lausanne -

 

2022.09 - 2025.06

Bachelor of Science, BSc in Computer Science