As a Staff Machine Learning Engineer at Shipt, I apply my skills and knowledge in OCR, computer vision, and NLP to improve cost accuracy, ensure regulatory compliance, and reduce fraud on the platform. I have improved the accuracy of receipt extraction from 55% to 98%, implemented an image hashing strategy for product images, and created a NLP pipeline to match OCR data to order metadata.I have a strong background in mathematics, with a Master of Science from the University of Alabama at Birmingham and a Bachelor of Science from the University of Mobile. I am interested in deep learning, MLOps, Rust, and distributed systems, and I enjoy working on challenging and impactful projects. I have also developed and integrated computer vision models for ProctorU, a Meazure Learning company, and worked on various data and ML projects for Positronic AI.
Listed skills include Multivariable Calculus, Calculus, Linear Algebra, Visual Basic, and 27 others.