Summary
Kyle Maxwell is a Senior Machine Learning Engineer with 13 years of experience building scalable ML platforms and data pipelines, currently driving ML, platform, and DevOps efforts at GoDaddy in Dallas. He has repeatedly owned end-to-end delivery—from research and system design to production—creating a spark-based feature extraction library, event-driven logging for ML telemetry, and a cost-saving migration of a feature store to S3 that cut annual costs by $480k. His background spans deep learning research (self-supervised denoising for microscopy), applied computer vision for marine biology, and production recommender systems, showing a rare mix of scientific rigor and pragmatic engineering. Comfortable leading cross-functional teams and on-call reliability work, he pairs strong systems thinking with hands-on implementation of distributed, low-latency inference and large-batch processing.
13 years of coding experience
6 years of employment as a software developer
California Polytechnic State University, San Luis Obispo
Master of Computer Science, 3.95, Master of Computer Science, 3.95 at University of Illinois Urbana-Champaign