Clint Stapleton

Software Developer & Student-Athlete

Projects

Java 3D Rendering Engine

Custom-built 3D rendering engine for real-time visualization. Features an intuitive GUI for loading and manipulating 3D scenes, showcasing low-level graphics programming.

Java JFrame 3D Graphics GUI

Track Predictor

Machine learning application that predicts track and field performance times. Analyzes training data, weather conditions, and historical performance for accurate race time predictions for cross-country and track athletes.

Python Machine Learning Data Analysis Scikit-learn

TrafficGuardAI

Real-time traffic hazard detection using deep learning. Processes video feeds and webcam streams with Hugging Face's DETR model for intelligent traffic analysis.

FastAPI React Deep Learning Computer Vision

Skills

Frontend

HTML5 CSS3 JavaScript React

Backend

Java Python C# C++

Data & Cloud

SQL AWS FastAPI Machine Learning

Education

B.S. Information Technology

Artificial Intelligence Specialization

Rogers State University

  • Honors College
  • Coding Club President
  • Student-Athlete — Cross Country & Track
  • GPA: 3.9
  • Expected Graduation: May 2027

Resume

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