Summary
Jared Neumann is a machine learning and NLP consultant with nine years of experience building production-grade information extraction and document-processing systems, currently running Neumann's Workshop from Fargo. He specializes in sensitive domains—healthcare credentialing, contract intelligence, and compliance—where he combines transformer-based models, LLM integration, and robust cloud deployments (SOC 2 AWS, Azure Document Intelligence) to replace manual review workflows. Jared brings a rare interdisciplinary background in computational linguistics and the history and philosophy of science, which informs rigorous evaluation design and AI explainability work that quantifies what model failures cost organizations. He’s hands-on in optimizing models for production speed and cost (ONNX quantization, BGE rerankers) and has integrated GPT-4.1 into validation layers for high-stakes extraction. As a former academic instructor and research fellow, he pairs technical engineering with clear experimental thinking and independent analysis of how AI systems process meaning.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD studies, History and Philosophy of Science and Technology, Doctor of Philosophy - PhD studies, History and Philosophy of Science and Technology at Indiana University Bloomington
Master of Arts - MA, History of Science, Medicine, and Technology, Master of Arts - MA, History of Science, Medicine, and Technology at University of Oklahoma