Short Bio

I graduated with a Ph.D. in Applied Computing from CS&E@MTU in April 2025, where I worked with Prof. Sidike Paheding and Dr. Guy Hembroff. I earned my M.S. in Electrical and Computer Engineering from Purdue University Northwest (PNW) in 2021, and my B.S. in the same field from PNW in 2018. I was also a member of the 2018 Honors College.

My research background spans computer vision, deep learning, and applied AI, with a focus on medical image segmentation, hyperspectral image analysis, and remote sensing. I developed efficient learning strategies, attention-based architectures, and loss-driven models for a range of problems, including retinal and skin lesion segmentation, Martian landslide detection, and geospatial analytics.

I am currently part of the Applied AI organization at Walmart, where I work on pricing and optimization problems in the Pricing team. My work includes temporal graph neural networks for pricing signals, SFOT bundle generation using agentic AI and deterministic methods, and causal machine learning models for clearance markdown and international pricing elasticity.

Beyond my applied work, I have collaborated on interdisciplinary projects in cybersecurity, software engineering, nursing education, and serious games, and I remain active in teaching, mentoring, and technical leadership.