Sofiia Tretiak

At Volvo’s Digital Product Team in Wrocław, I supported service health checks, infrastructure monitoring, L2/L3 incident management, and system-level bug resolution. I used Azure DevOps, ServiceNow, SQL, log analysis, authentication protocols, and technical documentation to improve internal systems.

As a visiting R&D trainee at METAM and Karadeniz Technical University, I developed an EEG-based emotion-recognition pipeline using the FACED dataset of 123 participants and nine emotions. I combined differential-entropy and functional-connectivity features with a temporal GRU-Transformer ensemble for cross-subject classification, with research being prepared for submission to PLOS ONE.

I’m completing Medical Informatics & Bioengineering at Wrocław University of Science and Technology, where I bridge software development, AI, and healthcare. I’ve also been admitted to the Medical Engineering & E-Health master’s programme at UAS Technikum Wien.

Outside formal roles, I build projects such as EyeSpy, a real-time facial emotion and fatigue detection application using ResNet18, MediaPipe, OpenCV, Python, React, FastAPI, and MongoDB. I also teach children robotics, Python basics, and STEM through IT for SheKids.