Curriculum vitae.

I’m Gal, a Computational Science and Engineering graduate with a background in mechanical engineering. My background combines numerical methods, machine learning and software development, with a focus on building practical systems.

Education

Master of Computational Science and Engineering – Grade: 5.21/6

2023 – 2026

EPFL

Lausanne, Switzerland

Bachelor Exchange Year

2022 – 2023

DTU

Lyngby, Denmark

Bachelor of Mechanical Engineering – Grade: 5.05/6

2019 – 2023

EPFL

Lausanne, Switzerland

Relevant coursework: Parallel & High-Performance Computing, Machine Learning, Artificial Neural Networks & Reinforcement Learning, Applied Data Analysis, Numerical Methods for Visual Computing & ML, Algorithms

Experience

Internship - Design and Implementation of a Flow Controller

September 2025 – February 2026

Levitronix

Zurich, Switzerland

Developed a simulation framework for hydraulic flow control and benchmarked control strategies for embedded deployment.

Evaluated embedded hardware architectures, including NPU-based acceleration, for future control-system integration.

Student Assistant (Teaching)

Fall 2023 – Fall 2024

EPFL

Lausanne, Switzerland

Led exercise sessions for three courses: Programming Concepts in C++ (MATH-458), Analysis I (MATH-101) and Info, Calcul, Communication (MATH-105).

Projects

Instant3D – Photo-to-3D-Print Web Service

2026 – present

Personal project

Biel, Switzerland

Online service that turns phone photos into 3D-printed objects: AI 3D model generation, automatic print preparation and pricing, ordering, and production on an in-house printer.

GPU pipeline running open-source image-to-3D models, followed by automatic mesh repair and estimation of print time and cost for each piece.

Python web backend with a 3D viewer for customers, and an admin interface for orders and production tracking.

Automated Bambu Lab printer set up in a home workshop, driven by a Raspberry Pi.

Recovery for VLA-Based Models in Robotics

Spring 2026

Master Project

CREATE Lab / Sycamore, EPFL

Fine-tuned the SmolVLA vision-language-action model for a long-horizon pick-and-place task with an SO-101 arm in Isaac Sim, driven by a subtask orchestrator (grasp, lift, place) with grasp checks and two-level recovery.

Built the data and evaluation tooling: teleoperation (gamepad, Quest 3 VR), dataset recording and editing, autonomous data collection, and batch evaluation runs; trained on an RTX 5090 and the EPFL SCITAS cluster (SLURM).

Markerless Salamander Pose Estimation from X-ray Radiography

Spring 2025

Semester Project

BIOROB Lab, EPFL

Built a pipeline to process X-ray images and automatically annotate salamander skeletal positions.

Fine-tuned a DeepLabCut model for accurate markerless skeletal pose estimation from X-ray data.

Sublimation and Snow Transport Analysis in Antarctica

Fall 2024

Semester Project

CRYOS lab, EPFL Sion

Processed field measurements from the Princess Elisabeth Antarctica station to study sublimation and snow transport.

Applied eddy covariance and Monin-Obukhov methods to estimate latent heat fluxes and assess implications for surface mass and energy balance.

Skills

Software Development: Python, MATLAB, C, C++, FastAPI, JavaScript (three.js)

High-Performance Computing (HPC): MPI, OpenMP, CUDA, SLURM

Machine Learning & Deep Learning: PyTorch, Scikit-learn, Hugging Face / LeRobot, DeepLabCut

Robotics & Simulation: Isaac Sim / Isaac Lab, teleoperation

Systems & Tools: Linux, systemd, Git, pytest, Playwright

Engineering Software: Ansys Mechanical, Ansys Fluent, CATIA, LabVIEW

Languages: French (Native), English (Fluent), Spanish (Proficient), Hebrew (Proficient), German (Proficient)

Activities & Interests

Sailing, hiking and cycling

Overlanding — Switzerland to China, Switzerland to Senegal