Summary
Caden Howell is a software engineer blending machine learning research and production-grade engineering, currently building systems at Amazon in New York. He holds a BS and an MS in Computer Science from Northwestern, where he focused on deep neural networks, generative AI, and transformer-augmented time-series forecasting for teleoperative robotics. Caden has hands-on experience across backend systems, databases, and embedded IoT stacks—having modernized global sensor databases, built firmware-testing pipelines for ESP32, and created client-facing analytics dashboards. His work emphasizes reducing latency and operational debugging, informed by a research background in continual learning and human motion prediction. With 17 years of engineering experience across startups and enterprise environments, he pairs rigorous academic depth with practical delivery. Colleagues describe him as an engineer who moves research ideas into reliable, measurable production outcomes.
16 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Northwestern University
High School Diploma, High School Diploma at Deerfield High School