Davis, California, United States
• Architected robust machine learning pipelines by collaborating with industrial physicians, leveraging both classical algorithms and advanced CNN models for automated feature extraction from 12 lead ECG data
• Fine-tuned the foundational HuBERT-ECG model and benchmarked its performance against 1D CNN and classical machine learning models
• Developed an Android application, alongside a full-stack web application with React and Node.js, to create dynamic dashboards for visualizing pulse and ECG data
• Built a high-accuracy 1D CNN model and integrated it into ONNX format for advanced ML predictions
• Technology Stack: Python, Pytorch, ONNX, pandas, numpy, React, Node.js, JavaScript, Android, Java