Summary
Matthew Grogan is a founder and seasoned analytics and technology leader with 13 years of enterprise experience and over 20 years solving hard problems across operations, analytics, and software delivery. He built and scaled analytics programs at GIA that powered 3x revenue growth, compressed feature delivery from 12 months to 6 weeks, and helped automate mission-critical grading systems that protect $300M in annual revenue. Now running Steady State Solutions, he launched productized decision-intelligence and AI automation offerings, grew a 50,000‑viewer education channel into the primary acquisition funnel, and built an AI document platform that cuts prep time from 45 to 5 minutes. Equally comfortable with board-level strategy and hands-on engineering, he combines statistical rigor (MS in Quantitative Methods) with pragmatic DevOps and CI/CD practice to maintain production-grade reliability as a solo operator. Not obvious from titles alone: he designs unit-economics–driven AI pipelines with deterministic content optimization and per-operation cost tracking before scaling.
13 years of coding experience
10 years of employment as a software developer
MS, Quantitative Methods and Modeling (focused on statistics and operations research), MS, Quantitative Methods and Modeling (focused on statistics and operations research) at Baruch College
BS, Computer Information Systems in Criminal Justice, BS, Computer Information Systems in Criminal Justice at John Jay College (CUNY)