sally User

On DIANA Student Robotics Team, I built the computer-vision pipeline for the rover’s object-detection task. I contributed to the team’s 4th-place finish out of 126 at the European Rover Challenge (ERC) 2025.

I collected and annotated field images of the probe in CVAT, applied data augmentation, and trained a YOLOv8 detection model using PyTorch. I also built a MATLAB/Simulink inverse-kinematics simulation for a 6-DoF arm used to collect detected probes.

For my SpaceXLaunchDataPipeline personal project, I designed a four-stage Python pipeline to collect, clean, store, and display launch data. It stores data on 205 launches in PostgreSQL and presents annual launch counts and successful launches from 2006 to 2022 in a Streamlit dashboard.

In a university project, I implemented 3DES encryption and decryption from scratch in Python, including the S-boxes, Feistel network, and ECB mode. I'm studying Computer Engineering at Politecnico di Torino and am particularly interested in AI, data engineering, robotics, and space technology.