W-00 · Drawing set
Selected work
Each sheet is a system: designed, argued for, and defended. Four reshape how an organization builds with AI; one runs in production. Together they form one argument — AI leverage and engineering judgment are not a trade-off if you build the structure that holds both.
W-01
The Engineering Workflow Playbook
A company-wide operating philosophy for how humans and AI build together — and the six-stage engineering pilot that tests it, authored and run against real delivery on SquadBox.
- methodology
- AI enablement
- org leadership
W-02
AI-Robustness Gates
Making a codebase’s architectural invariants mechanically enforceable in CI — because human reviewer vigilance does not scale with AI-authored code.
- quality engineering
- CI/CD
- AI safety engineering
W-03
Threat-Modeling AI Workflows
A multi-framework threat model for AI-augmented engineering workflows — so an agent-adoption decision could be made on mapped risk instead of vendor marketing.
- security
- threat modeling
- AI adoption
W-04
Safe Mode: Unblocking an Org-Wide Agentic Rollout
A bilingual, arcade-style security game that replaced the policy page nobody reads — built to satisfy the guardrail requirement gating an organization-wide rollout of agentic AI tooling.
- security enablement
- change management
- product build
W-05
NIC — Agents That Recommend, Humans Who Decide
Tech lead on a production AI-agent platform for ArcelorMittal Canada’s mining operations — where every agent recommends and every decision stays human.
- production AI
- industrial systems
- agent design