AI STRATEGIST & PRODUCT BUILDER
I bridge strategy, product, engineering, and operations to move ambitious AI programs from idea to measurable impact.
Confidential enterprise work, translated into the decisions, systems, and outcomes that mattered.
FROM MANUAL TRIAGE TO LIVE INTELLIGENCE
Designed, built, and deployed a production-grade decision-support platform that turned fragmented enterprise signals into one explainable, auditable view of operational risk.
FROM DOCUMENTATION TO ORGANIZATIONAL INTELLIGENCE
Reframed a documentation program into a cross-organizational AI strategy: structure knowledge once, then let people, agents, and automated workflows consume it in the moment of need.
WHEN RETRIEVAL ISN’T ENOUGH
Built a working prototype that transforms dense, high-stakes documents into role-tailored decision missions—testing whether AI can improve comprehension, retention, and decision quality rather than merely making content searchable.
TRUST DESIGNED INTO THE SYSTEM
Designed AI systems around a zero-trust enterprise posture: sanctioned infrastructure, managed identity, trusted capabilities, auditable changes, and layered controls instead of a single prompt filter.
The knowledge strategy did not end in a charter. It became a portfolio of live and emerging systems—built by partner teams through the program and substrate I led.
Detects high-volume request types and redirects people to self-service with no engineer in the loop.
Packages specialist knowledge as reusable, agent-invokable capabilities.
Turns frequent reservation requests into workflow-backed self-service.
Moves provisioning and changes from manual engineer tasks into governed workflows.
Ownership, stated precisely: I led the program, strategy, alignment, and outcomes. Partner engineering teams built these implementations.
A builder’s approach to transformation: prove value quickly, then design the system that lets it scale.
I work across organizational boundaries, technical layers, and operating models—because AI succeeds or fails as a complete system.
Find where people, data, workflow, and technology actually break—not just where a model could be added.
Prototype with production constraints in view. Make the value visible, testable, and measurable.
Ground outputs, scope access, observe behavior, and put human judgment where risk demands it.
Align ownership, incentives, measurement, and adoption so the system creates durable value.
My career did not jump from creative work to AI. Each stage added a layer I use now.
Motion graphics taught me to make ideas tangible.
Systems work taught me how reliability and adoption actually behave.
Cross-functional leadership taught me to align strategy, ownership, and outcomes.
Now I combine all three to ship systems that change how work gets done.
Outside formal programs, I build products to explore new mechanics, sharpen technical judgment, and solve problems I encounter firsthand.
Designing original game loops, tactical card systems, interface architecture, and production-ready asset pipelines with Godot and AI-assisted creative tooling.
A focused personal operating system for translating long-term objectives into measurable weekly progress, accountability, and reflection.
A purpose-built inventory system for tracking assets, location, ownership, audit history, and operational status without spreadsheet friction.
I came up through motion graphics, where I learned to make ideas tangible. I carried that builder’s instinct into technical operations, product reliability, and cross-organizational AI transformation.
My best work happens in the gap between executive ambition and the working product: turning ambiguity into architecture, alignment, shipped systems, and measurable change—scale without simply adding headcount.