Utilizing computer vision and machine learning for automated grading and authentication, focusing on training an open-source object detection model, YOLO, to detect various surface damages on trading cards through transfer learning.
Developed full-stack accounting and back-office management apps, employing modern Web App Frameworks, REST APIs, Relational Databases, and cloud technologies to ensure scalable and efficient operations.
Demonstrated expertise in quickly adapting to new technologies and business domains to successfully architect and build scalable, maintainable software systems that meet the client's business needs. Automated client processes in Salesforce and UI/UX testing using Selenium and Python.
Engaged in full-stack development by enhancing existing applications and collaborating with experienced senior developers on a new application. This experience allowed me to delve into requirement gathering, UI/UX discussions, API and database design, and adopt efficient Agile development practices.
Managed a pipeline of scripts that adapted astronomical concepts and data science techniques to manipulate supernovae data and develop data visuals that were presented at expos and physics festivals. As a team lead, I applied Scrum to a team of undergraduates to efficiently produce weekly updates within the school term.
Researched common security vulnerabilities in Android mobile development and addressed these in a secure and non-secure versions of an Android application as a guide for developers at Bespin, the U.S. Air Force's mobile center for excellence.
Designed and developed the Retail Lottery Downloader, proprietary-based software by Zbottomline to reduce lottery data processing from the Texas Lottery Website. Created additional accounting templates for clients and data manipulation scripts to optimize data entry work.