At elunic AG, I work as a Data Scientist developing end-to-end AI solutions, from data collection through deployment. My work includes deep learning models for image segmentation, classification, and defect detection.
As a Computer Vision Engineer Intern at VisShopAI, I developed a computer vision pipeline that used video data to estimate customer hesitation in retail environments. It combined person detection, tracking, pose and facial feature extraction, and temporal modeling.
At SopraHR Software, I worked as a DevOps Engineer Intern on HRSmart, a platform for supervising and managing distributed servers and services through secure SSH communications. I also collaborated with the Web department on writing real-time data to read-only files for display in other platform modules.
On PitchIQ, I built a fact-checked football intelligence assistant with a multi-source RAG pipeline and a dedicated agent that checks claims against retrieved evidence. I placed first in the AI Hackflow Hackathon at Esprit in 2024.
