My strongest work sits at the intersection of product thinking and full-stack execution. This page makes the process explicit: how I turn an ambiguous problem into a scoped product, a usable demo, a validated system, and reusable proof.
Map what users already do, where they get stuck, what decision they are trying to make, and what output would change their next action.
Mapped handoffs, bottlenecks, and drivers of delay and rework across pathologist workflows.
View case studyConvert the idea into flows, screens, data objects, AI responsibilities, system boundaries, metrics, and a demo path.
Turned 'career confusion' into exploration, pathway maps, recommendations, roadmaps, and coach-ready summaries.
View case studyBuild the interface, backend, AI layer, deployment, documentation, and demo artifacts needed to test reality quickly.
Turned workshop concepts into virtual labs, 3D Minerals, and teacher-ready classroom resources.
View case studyPut the prototype in front of real users, workshop cohorts, advisors, or operators and capture qualitative and quantitative proof.
Tested AI curriculum tools with educator cohorts and captured feedback across multiple workshop sessions.
View case studyPublish the case study, write the lesson, build the resource, and link the product to a clear business or career outcome.
SOPs, KPI dashboards, and handoff documentation so the work survived beyond the original team.
View case studyThese five principles connect PathWise, SMMR Virtual Labs, Roche automation, Komatsu RAG, CellaNova, and the workshop systems.
A student-first platform that turns academic and career uncertainty into maps, personalized recommendations, roadmaps, and coach-ready next steps.
Full-stack, AR/XR, and AI-supported learning experiences for mining, minerals, STEM outreach, teacher curriculum design, and workforce pathway visibility.
A multi-phase industry engagement focused on process mapping, sample intake automation, optimization tooling, KPI dashboards, and adoption-ready SOPs.
A retrieval-augmented generation system designed to make technical documentation easier to search, retrieve, and use through a full-stack AI experience.
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