This portfolio highlights what I want to be known for now: practical AI strategy, workforce enablement, governance, change, technical writing, and learning design. Older samples remain for context, with the emphasis on durable contributions rather than every experiment I have tried.
Workflow optimization, enterprise enablement, governance and change, and organizational readiness.
A guided consultation that recommends a learning modality, confirms the request with the SME, and routes structured data to the instructional-design team.
A layered learning strategy for Rakuten and Mattel that moves from shared responsible-AI foundations to advanced and role-specific application.
Subject-matter expertise, authorship, and on-camera instruction for the Ziplines module that consistently receives the course's highest NPS scores.
A research-informed, working assessment that helps organizations examine their readiness for agentic AI before they buy, pilot, or scale.
A working three-mission experience I designed and built: learners investigate AI risk, select safeguards, revise weak responses, and justify accountable decisions.
A one-hour interactive session on using critical thinking with AI, wrapped in a Wizard of Oz theme with timed activities, reflection prompts, and a participant handout.
Sample materials
Recent instructor-led training for L&D recruiters learning how to recognize, interview for, and evaluate AI skills in candidate profiles.
Sample materials
Paste a recruiter message and sender details to identify scam signals, understand the risk, and take safer next steps. It flags risk indicators rather than making a definitive fraud determination.
A practical tool for turning vague requests into better inputs, clearer context, and more useful AI output.
A one-hour AI change management session for HR audiences, built around AI impact mapping, concerns-and-solutions activities, and practical adoption metrics.
Sample materials
Selected work designed during my MSc in AI in Business program at Arizona State University.
An AI-powered vinyl recommendation experience and owner intelligence dashboard built with Codex and Claude. The working prototype uses React, TypeScript, Firebase/Firestore, and an Express production server.
A prototype that scores workflows against practical criteria to decide whether AI is the right solution, then suggests augmentation approaches.
An AI-powered tool that explains code or code changes for engineers, product managers, or executives. Built with a Python backend and JavaScript, CSS, and HTML for the interface and static pieces.
An interactive explanation of multi-agent orchestration using a conductor-and-orchestra metaphor.
A hands-on, six-knob mixing-board explainer that lets people train a tiny model in the browser and watch its weights settle.
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A humorous n8n workflow that uses GPT-4o to grammatically rectify classic rock song titles through a pompous fictional curator.
A one-hour hybrid session for in-person and live-streamed audiences, with learner persona work and interactions designed for in-person and online.
Sample materials
A curated, contract-ready collection of technical editing, manuals, software documentation, standards, job aids, and white papers.
A coordinated pair of standards for consistent instructor-led, virtual, and eLearning materials across UPS GBS.
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Two complementary resources for live and recorded virtual learning: an LCA facilitation sample and a practical pre-recording checklist.
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A training module for call center employees learning how to complete a Workday process through the MyHR support environment.
Two point-of-need resources from separate Oracle projects, supporting talent-management and learning workflows.
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A workbook sample for software training and guided practice.
