Experience

Utility, Inc.

• United States
• IT Services and IT Consulting
• 200 - 300 Employee

• Software Engineer Internship

  • Jun 2023 - Present



UGA CURO

• Athens, Georgia, United States

• Undergraduate Research Assistant

  • Aug 2022 - Present

  Researching the applications of ambient FM backscatter devices for localization and tracking purposes with Dr. Haijian Sun Researching the applications of ambient FM backscatter devices for localization and tracking purposes with Dr. Haijian Sun



Capgemini

• France
• IT Services and IT Consulting
• 700 & Above Employee

• Machine Learning and AI Human Measurement Project Lead

  • Aug 2022 - Jun 2023

  Developing a software as a service that performs human measurements such as a person's height, shoulder width, neck length, and arm length. These measurements are obtained using any camera a user may have access to. This is accomplished through the use of Google Mediapipe and OpenCV. All software is hosted on Microsoft Azure for global use. Developing a software as a service that performs human measurements such as a person's height, shoulder width, neck length, and arm length. These measurements are obtained using any camera a user may have access to. This is accomplished through the use of Google Mediapipe and OpenCV. All software is hosted on Microsoft Azure for global use.



Georgia Tech Research Institute

• United States
• Research Services
• 700 & Above Employee

• Systems and Software Engineering Lead

  • Jun 2018 - Aug 2018

  Worked with a team of 5 peers to design and prototype a fully functioning smart cycling safety vest capable of detecting cars up to 21 feet behind a cyclist over a 5 week period. On detection LEDs located on the vest would activate and a vibration motor would alert the cyclist of the cars location. In this role the team designed 5 PCBs in EagleCAD each with a specialized purpose. These were printed and integrated with the existing circuit on the vest to create a functioning prototype. Worked with a team of 5 peers to design and prototype a fully functioning smart cycling safety vest capable of detecting cars up to 21 feet behind a cyclist over a 5 week period. On detection LEDs located on the vest would activate and a vibration motor would alert the cyclist of the cars location. In this role the team designed 5 PCBs in EagleCAD each with a specialized purpose. These were printed and integrated with the existing circuit on the vest to create a functioning prototype.