Software Engineer Intern
Designed and implemented a cloud-based benchmarking framework for tracking the metrics of fitting custom machine-learning techniques. I then leveraged that to create data from and train an XGBoost machine-learning model in order to predict resource requirements of these machine-learning techniques. I also created an API which allowed for future users and systems to utilize the trained model.