• Worked as algorithm intern at Alibaba Health. Responsible for heart sound (phonocardiogram) classification analysis with machine learning and deep learning methods using 3500 data samples collected from various sources.

• Converted the audio file to spectrograms using Python and built up a Convolutional Neural Network model with Keras and Tensorflow. Applied the transfer learning methods using VGG-16 model. Achieved an overall F1 score of 0.82.

• Deployed the model using Tensorflow Serving Docker to receive and response RPC requests from the client side. Uploaded the service Docker image to Alibaba Cloud’s container cluster.