I have led and contributed to projects involving biomedical signal analysis, deep learning, and predictive modeling. As a Biomedical Signal Specialist, I designed end-to-end pipelines for phonocardiogram analysis, reducing noise by 90% and developing machine learning models for biometric identification and physiological monitoring. I built data collection systems using Python and AWS, gathering hundreds of thousands of real-world signals and creating tools for data drift detection and automated reporting.