Designed and implemented a metrics pipeline and infrastructure using AWS to monitor robotic workcells

Contributed to team code reviews and supported customers with on-call responsibilities

Fully integrated the project with AWS (Sagemaker, GreengrassV2, Lambda, Cloudwatch)

Created predictive maintenance regression and classification models to predict the remaining useful life, and most likely root cause of a given failure

Implemented unsupervised anomaly detection models using clustering and autoencoder methods

Coded an Android app to monitor the sensor network with a backend of SQLite & Amazon Web Services (DynamoDB, IoT, Cognito, Lambda, SNS)