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.
10 years of coding experience
17 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
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
Contributions:3 PRs, 42 pushes, 1 branch in 5 months
anthropicazuregroqhuggingfacellm
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