Tim Moran Email & Phone Number

Lansing, Michigan, United States

Software Developer 1 role on Jackson’s JET Digital Delivery team

East Lansing, Michigan, United States

• Collaborated with the Jackson JET Software development team to create a website thatautomatically processes financial transactions and displays net amounts, eliminating the need tomanually sum transactions.
• Utilized Primefaces and Java to automatically process financial data and display it in a tabularformat, leading to the automation of processing net gains of transactions.
• Led a team of new hires by leading Agile ceremonies and assisting in tasks, which increased the team’s effectiveness.

Grand Rapids, Michigan, United States

• Created a GitHub Actions pipeline that uploads and downloads an artifact of a terraform plan tobe used in different pipelines, leading to an increase in the number of deployments.
• Designed and implemented a terraform module that deploys a mssql server and storageaccounts that complies with NIST 800-53 Rev 5. This was the initial cloud infrastructureimplemented by the client.
• Developed a GitHub Actions pipeline that dynamically creates and destroys environments forazure resources to be deployed by implementing a bash script to remove special characters,decreasing the setup time to deploy.

Chicago, Illinois, United States

• Ensured accuracy for basketball player tracking data via broadcast video for AutoSTATS, Stats Perform’s patented AI player tracking and computer vision technology
• Accurately cut video and identify components of broadcasts to power AI algorithms
• Tested new features and tools for continued development of the product
• Maintained high quality data standards to ensure accurate data is delivered to clients

East Lansing, Michigan, United States

• Collaborated in team environment with other researchers by contributing in weekly meetings and assisting with the training and testing of an AI model for semantic extraction
• Created multiple sets of data using Excel to both train and test the model
• Annotated the data to ensure there were no errors
• Utilized Python to visualize the results of training the model