Summary
Matt Nitzken is a Staff Machine Learning Engineer with nine years of experience building full-stack ML systems and data products, currently driving Time Series and unsupervised clustering features at DataRobot. He blends deep academic training (PhD in ECE) and startup experience to translate research-grade image, signal, and diagnostic models into scalable, production-ready pipelines across cloud platforms (AWS/GCP). His background spans healthcare-focused personalization, real-time deep learning, large-scale feature engineering, and embedded controls—evidence of a rare cross-domain fluency from biomedical imaging to industrial automation. A hands-on mentor and collaborator, he excels at making complex models trustworthy and operational through automation, testing, and customer-facing solutions. Notably, he co-founded NeuroAtlas, applying ML to neurological diagnostics, showing a long-term commitment to turning data and algorithms into meaningful clinical tools.
9 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering, Doctor of Philosophy (Ph.D.) Electrical and Computer Engineering at University of Louisville
High School Diploma College/University Preparatory and Advanced High School/Secondary Diploma Program, High School Diploma College/University Preparatory and Advanced High School/Secondary Diploma Program at Saint Xavier High School