At Visible Patient, I developed a platform for training neural networks to segment medical images using Python, TensorFlow, PyTorch, and Keras.
I also set up automated processing for archiving medical data with Python, Airflow, Mongo, Minio, and S3.
At Visible Patient, I developed a static-site generator for software distribution and worked within a medical-device quality process requiring traceability and reproducibility.
Earlier, I developed a medical-data web application during my internship at Visible Patient and worked on deep-learning segmentation of a spleen at IRCAD Taïwan.
