Education
Doctoral research in biosignal data analysis and medical AI. Focus on machine learning approaches for intraoperative patient monitoring and hypotension prediction.
Experience
Research team member on the TRANSFER project. Building a data platform to analyse intraoperative monitoring streams sourced from operating rooms. Developing and evaluating ML models for near-real-time hypotension prediction with event-type and causal information. Working across signal preprocessing, feature engineering, model development, and MLOps infrastructure.
Projects
ECG acquisition and analysis app built in Flutter. Uses a Polar H10 chest strap over Bluetooth to record 5-minute ECG sessions, uploads to a Google Firebase backend, and runs a signal processing pipeline (noise reduction, beat detection, HRV & cardiac parameter calculation). Documented MDR regulatory classification and compliance path for a Class IIa medical device.
Agentic LLM framework that closes the loop between project manager, developer, and tester roles. Automates iterative software development tasks using multi-agent coordination.
SKU product lifecycle management tool. Manages the full lifecycle of product stock units from creation through end-of-life using structured LLM-assisted workflows.