Popeye Dixon

Welcome to my personal website! I'm a Computer Science graduate from Harvard University and a former NVIDIA engineer passionate about AI and computer graphics. I specialize in developing cutting-edge solutions that push the boundaries of what's possible in technology.

About Me

As a Harvard-educated computer scientist with a focus on artificial intelligence and computer graphics, I've dedicated my career to pushing the boundaries of what's possible in technology. My journey began at Harvard University, where I graduated magna cum laude with a Bachelor's in Computer Science, specializing in machine learning and computer vision. During my time at NVIDIA, I contributed to groundbreaking projects in AI infrastructure and GPU-accelerated computing, working on solutions that power everything from autonomous vehicles to advanced gaming experiences.

Experience

Senior Software Engineer

NVIDIA | 2020 - 2023

Led development of GPU-accelerated AI infrastructure, improving training speeds by 40%
Architected and implemented real-time computer vision systems for autonomous vehicle applications
Collaborated with cross-functional teams to optimize deep learning frameworks for enterprise deployment

Software Engineering Intern

Google | Summer 2019

Developed machine learning models for Google Cloud's AI services
Optimized data processing pipelines, reducing latency by 25%
Contributed to TensorFlow's distributed training capabilities

Skills

Technical Skills

Python

C++

CUDA

Deep Learning

Computer Vision

Distributed Systems

GPU Programming

Cloud Computing

Soft Skills

Technical Leadership

Cross-functional Collaboration

Problem Solving

Public Speaking

Project Management

Mentoring