I hold a MS and BS in Computer Science from Appalachian State University (ASU) located in the heart of Boone, North Carolina (United States of America). I currently work for ASU as a Research Associate in Machine Learning as part of the AppMAIS project. Before this position, I spent two years as a professional Software Engineer building cloud-based IoT performance testing software. I've been a professional Python developer for the past several years.

My research and academic interests focus primarily on:

• Machine Learning for Computer Vision
• Interpretable/explainable AI
• Spatial-based Blind Signal Separation techniques
• Artificial General Intelligence:
  • Transfer Learning, robust latent representations, knowledge distillation, etc.

Some of my accomplishments include:

• Presenter at the 2017 National Conference on Undergraduate Research (NCUR 2017) on my undergraduate senior capstone project.
• BS in CS from ASU in May 2017 with a senior capstone project: Applications of Predictive Modeling on the Appalachian Trail.
• MS in CS from ASU in Dec. 2019 with thesis: Automated Detection of Herbarium Specimens via Transfer Learning in Convolutional Neural Networks (CNN)s.
• Adjunct Lecturer for CS 3537 Problem-Based Artificial Intelligence at ASU in 2021
• Research Associate in Machine Learning for ASU 2021 - present.

Implementations:

• A whole lot, I code daily and always have several side projects going. Check my GitHub history if you are really that curious; or better yet, reach out and I'll be happy to discuss what I'm up to with you.

Relevant Courses:

• I've taken pretty much every Machine Learning and AI course that has ever been offered at ASU from 2012 to present. I've TA-d several of these courses, and taught one of them myself.
• I'm currently taking the Sequence Modeling course on Coursera.