Selected Work

Systems I've built at enterprise scale — from naming AI products to governing content across 24 languages. Each project connects terminology research, content architecture, and systems thinking to real product outcomes.

What I’ve built

Systems, frameworks, and tools — shipped at enterprise scale.

Terminology Governance Systems

Microsoft Fabric Data Engineering

Canonical language for Lakehouse, Materialized Views, Monitoring, and agentic AI experiences. The naming layer that AI grounding depends on.

AI-First Design Review

Framework

Governance model making AI influence explicit in design reviews. Pitched to leadership as a funded pilot.

Content + AI Operating Model

Explore → Iterate → Scale

3-layer system producing reusable glossaries, evaluation rubrics, and onboarding templates across four product areas.

Clarity Delta

Evaluation Metric

Scoring AI output on terminology accuracy, grounding fidelity, and task completion.

Promptcraft

Workshop Chosen for Microsoft Design Week 2025

Prompt engineering workshop teaching designers to get better AI output.

100+ designers trained

VibeHub

Co-led a platform for democratizing UX engineering.

2,000+ projects in production

Deaf-Led Sign Language Experiences

3× Hackathon Executive Award Ability Executive Challenge Winner

3 workstreams advancing accessible sign language technology.

Case Studies

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Fabric interactive prototypes showing notebook run lineage tree and snapshot details Data Infrastructure

Notebook Dependencies and Monitoring IA

Project: Redesigned information architecture and status taxonomy for notebook monitoring surfaces.
Outcome: Created a dependency lineage model covering 9 runtime scenarios.
Impact: Made dependency status scannable during live incident response.

9 lineage scenarios covered
Content Designer · IA Lead
Feature Term Ranking chart showing survey results across 51 responses with stacked bar visualization AI Systems

Data Agents Naming and Terminology System

Project: Named an autonomous AI product across a cross-functional team with competing preferences.
Outcome: Scored 60+ candidates against a structured constraint framework, validated by survey with 51 respondents.
Impact: Moved the team from deadlock to decision with evidence, not opinions.

60+ naming candidates evaluated
Content Design Lead · Research Owner
From chat to context to agency — the new Copilot UX contract showing contextual autonomy, memory infrastructure, and trust contracts Governance

AI-First Content Governance

Project: Built system-level content patterns and governance structures for AI-assisted authoring at scale.
Outcome: Established a repeatable quality framework across 24+ languages.
Impact: Cut review cycle time and extended terminology governance across the full localization pipeline.

24+ languages governed
Principal Content Designer
AI UX Quality Scorecard showing dimensions for memory, grounding, delegation, agent control, and beyond chat Agent Systems

Multi-Agent Orchestration System

Project: Designed and deployed a production agent orchestration system for career strategy and content design workflows.
Outcome: 8 specialized agents with custom skills, memory, and workflow automation across 320+ versioned files.
Impact: Turned a manual, scattered process into a repeatable, version-controlled operating system.

8 custom agents deployed
Systems Designer · Architect

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