As part of the inaugural class of MLH Fellows, I contributed to Open Source projects with a team of Fellows under the educational mentorship of a professional software engineer.
•Keras Library: Accomplished dataset visualizations by training LSTM model for time-series dataset API, utilizing Python, Tensorflow,
Keras and Jupyter. It was adopted as an example by Keras for the website.
•BentoML: Engineered a unified storage service for bundle files and metadata of machine learning models, to enable support across
different cloud platforms such as AWS S3, Google Cloud, and Azure, lead to efficient utilization of local instance' secondary memory in
Python.