Dan Steinke

I have had a wide variety of roles in higher education over 14 years. Financial Aid, Student Accounts (Bursar), Implementing a Student Information System (SIS), Managing a technical team of 3, PowerApps, and currently a technologist and analyst in Finance and Administration.

AI is imbued in the work I do. I use it to write web apps (mainly with Google Apps Script), create powerful spreadsheets with Power Query and relational Data Models, created an AI Chatbot with RAG. I am currently leverage AI's analysis capabilities to support budget decision making for VPs - providing them a natural language AI interface to understand their data and make decisions.

Dan Steinke is a Business Systems Analyst with 14 years in higher education who has quietly become one of the more capable AI practitioners in institutional technology. He architects domain-specific AI assistants with layered system instructions, builds multi-LLM verification workflows that catch what single models miss, and designs phase-gated prompting strategies born from real failures rather than theory. His critical evaluation practices, including adversarial collaboration and regression testing, reflect a rare discipline that most self-described AI experts never develop.

These capabilities position Dan to lead AI adoption well beyond his own desk. His systems-thinking approach to budget analytics, natural language data interfaces for executive decision-makers, and emerging knowledge transfer frameworks point toward someone ready to architect institutional AI strategy, not just personal productivity.

From building RAG-powered chatbots to exploring multi-agent orchestration for a startup, Dan's full profile reveals a practitioner whose ambitions are catching up to his skills.