• Created a program using Python and two machine learning models to extract images and information of numerous barcodes from warehouse images for an automatic inventorying process

• Analyzed multiple machine learning research models to determine best fit for task

• Trained a transfer learned object detection machine learning model on provided data and outside collected data

• Wrote scripts in Python that modified data automatically for improved training

• Upgraded old Message Inspection Window from MFC to the C++ QT framework with expanded functionality and capability to track thousands of messages for the P8 instructor operating system

• Designed and implemented the new window GUI including search and automatic categorization for messages

• Converted existing logic for the old window to use QT event handling along with adding the ability to track as many messages as needed in an easy to view tabbed interface

• Updated backend tracking to improve efficiency for more messages

• Developed for the batch back end team in both Java and SQL languages on both new projects and change requests

• Analyzed legacy code in bash and COBOL to implement old functionality

• Created and completed the retirement summary report project which combined and analyzed all available retirement information for thousands of customers and multiple scenarios and integrated the results into a concise report used for quick analysis