Jennifer Minnich is an ML/AI engineer and senior data scientist with nine years of experience building production AI systems, enterprise governance tools, and research-grade prototypes. She has delivered measurable impact—identifying over $9M in software cost savings and architecting a patent-pending token-reduction approach (JENNY) that achieved an 88% reduction. Her work spans deployed NLP and retrieval systems (including a 92.5% benchmarked natural-language search over 14 years of tax data), cross-model security evaluation for federal chatbots, and an AI testing framework with extensive red-team strategies. As a principal consultant and research engineer, she bridges applied research (co-authoring an ICML-submitted Stream Recursion Model) with production engineering for clients across government and industry. Based in Miami, she combines strong CS fundamentals from an accelerated BS/MS with practical full-stack and analytics experience, and she often translates novel research ideas into auditable, deployable systems.
9 years of coding experience
9 years of employment as a software developer
BS/MS Accelerated Masters, Computer Science and Engineering, BS/MS Accelerated Masters, Computer Science and Engineering at New Mexico Institute of Mining and Technology
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Jennifer Minnich - ML AI Engineer , Senior Data Scientist