Master’s student in Computer Science at ETH Zürich, specializing in Visual & Interactive Computing. I’m passionate about Gaussian Splatting, AR/VR, and robotics simulation. My work combines 3D reconstruction, real-time rendering, and simulation-driven system design.
- Gaussian Splatting for Robotics Simulation
- Applying cutting-edge rendering techniques to simulate high-fidelity robotic environments.
- Integrating RGB-D and point-cloud data via ROS 2 + Gazebo to evaluate perception pipelines.
Quick‑Easy‑Depth Splatting – My bachelor thesis project on 3D reconstruction of forest environments using Gaussian Splatting. Achieved top-grade evaluation (6/6) and is now cited in publications and extended by multiple ETH RSL projects.
A group project from ETH CVG that builds on QED‑Splatter, designed as a mesh extraction pipeline from Gaussian‑based reconstruction in urban environments.
| Category | Technologies |
|---|---|
| 3D Reconstruction | Gaussian Splatting, Nerfstudio |
| Robotics & Simulation | ROS 2, Gazebo, Python |
| Web & Full Stack | Vue.js, FastAPI, MongoDB |
| Languages | Python, Typescript, C++ |
- Deepening the integration of Gaussian Splatting into robotic perception and simulation.
- Exploring real-time AR/VR-enhanced maintenance and training systems.
- Contributing to open-source frameworks that support scene reconstruction.