Created a virtual robot to automatically capture image of each device and pass it through a Neural Network that predicts device model

Built an Android application that allows user to accept or reject the AI classification for each device before it is stored in company database

Demo Video below

Created pie charts and tables with ReactJS to visualize device type counts (mobile, printer, laptop) and display critical asset information such as UUID, Model, Location, and Status

Deployed Spring Boot microservices (user and device services) using Google Kubernetes Engine and HTTP Load Balancers

Utilized Cloud Spanner SQL to store 100+ user and device entities into database

Managing workflow of documentation with Google Workspace services, faxes, and scanners

Promptly responding to inquiries via telephone calls

Responsible for the organization and cleaning of the office space