• Designed an enterprise AI solution using Google Vertex AI to automatically identify device models in large device shipments with a 70% accuracy and store them in an application for tracking and managing devices

• 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

• Developed a GCP cloud enterprise solution to visualize and track 100+ company devices and assets

• 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

• Greeting students and employees into the office

• 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