Bradenton, Florida, United States
Mathematics and Computer Science undergraduate at New College of Florida with research experience in Machine Learning. In my role as a Machine Learning Research Assistant to Dr. Rohan Loveland, I have worked on anomaly detection and computer vision projects where I gained experience in developing models, running experiments, and translating results into measurable improvements. My coding expertise is primarily in Python, with interests spanning machine learning, statistics, and algorithmic problem-solving. I’m pursuing roles in Machine Learning Engineering or Quant Development where I can contribute to performance-driven work and production-quality implementations. I am also an aspiring PhD student, where I hope to pursue a doctorate in the field of Applied or Pure Mathematics.
Currently serving as a TA for the Data Visualization graduate course under Dr. Rohan Loveland.
I am currently working as a Machine Learning Research Assistant under Dr. Rohan Loveland, where my research focuses on the application of anomaly detection algorithms. Using computer vision techniques, our goal is to enable real-time anomaly detection on live data streams while minimizing required user input. As part of this role, I traveled to Silicon Valley during the summer of 2025 to continue research with Dr. Loveland as we worked toward our first publication.
I worked as a Teaching Assistant for Intermediate Python under Dr. David Gillman. My responsibilities included reviewing and evaluating student code, providing narrative feedback, hosting office hours to assist with programming assignments, and delivering lectures upon request.
Approved by New College of Florida to serve as a peer tutor in the fields of Mathematics and Computer Science. Tutoring experience mostly lies in the areas of Calculus and Python.