Why this work matters
Useful digital products require more than isolated code: they need clear user flows, structured information, validation, persistence, accessible interfaces, and a realistic delivery path.
Applications · Data · AI-assisted development
A growing development portfolio connecting front-end interfaces, back-end logic, data structures, APIs, and AI-enabled product workflows.
Useful digital products require more than isolated code: they need clear user flows, structured information, validation, persistence, accessible interfaces, and a realistic delivery path.
Translate user and business requirements into interface concepts, application logic, data models, evaluation workflows, and testable implementation plans.
Brings product, content, education, marketing, and technical perspectives together so applications remain understandable to both users and stakeholders.
Coding project categories
Interfaces, APIs, validation, data models, persistence, testing, and accessible user workflows.
AI Response Quality Lab · MindGarden portal and booking architecturePrompt design, response comparison, quality evaluation, content workflows, and human review.
Educational and marketing evaluation · Prompt-engineering iterationsMulti-step AI workflow concepts with tool use, decision gates, monitoring, and human approval.
Agentic-framework study · Responsible workflow and orchestration conceptsTechnical skills
Completed study, work in progress, and documented tools are labeled clearly for an accurate view of current technical range.
Program-based study: MIT Sloan completed August 30, 2026; Purdue and Michigan expected September 30, 2026.
Current and developing proficiency through coursework and portfolio projects.
Applied tools and documented prior technical experience.
Selected deliverables
Evidence
Work in development and representative technical concepts are labeled clearly; no unsupported claims of production scale or coding ownership.
Methods & capabilities