Jacob Regan

• Developing integrated Computer Vision and Traffic Control Optimization pipeline for Department of Transportation.
• Pursued research in areas related to machine learning, artificial intelligence, and cybersecurity.
• Produced virtual simulations in Unity Game Engine for reinforcement learning research.
• Published research paper "A triplet graph convolutional network with attention and similarity-driven dictionary learning for remote sensing image retrieval" in Expert Systems and Applications journal.

• Completed VC-oriented summer internship program with Atento Capital. As part of the program, I was placed Atento's portfolio company, Boddle Learning, to complete a summer project.
• For Boddle Learning, I designed, implemented, and deployed a custom ML-based question scheduling algorithm to improve learning and engagement outcomes for users.
• Conducted extensive AB testing for developed algorithm, which showed a 36.61% uplift for first-time purchases among new users assigned to the ML test group compared to legacy product group.

• Collaborated on deployment of Anaconda platform as part of initiative to build out Magellan's machine learning capabilities.
• Setup ServiceNow for Data Analytics team to provide centralized workspace for team workflow and task assignment.

• Worked as Tutoring Lab Assistant in university's Computer Science Tutoring lab.
• Worked as Undergraduate Research Assistant on cybersecurity research exploring attack graphs and exploit patterns.

Rewrote and updated legacy custom applications in C#.

• Participated in full-time summer IT Internship with WPX Energy.
• Supported organizational migration from SharePoint 2008 on-premise to SharePoint Online.