— 01Pillar
Strategic QA Transformation
Align your QA strategy with business goals and reduce time to market.
§ 00
QA & Quality Engineering ConsultingToronto · Remote
Accelerate your delivery.
Fix QA before it becomes a bottleneck.
I help engineering leaders ship faster by fixing the quality engineering layer — strategy, automation, and AI-driven workflows that scale with your team.
12+ yrs
in QA & quality engineering
8 teams
led across scrum orgs
40% faster
time to market, average
AI-native
workflows shipped to prod
§ 01Services—
Four pillars to move quality from cost center to delivery accelerator.
— 02Pillar
Test Automation
Build reliable, maintainable automation that scales with your product.
— 03Pillar
AI in QA Workflows
Leverage AI tooling to accelerate testing and reduce manual effort.
— 04Pillar
Team Enablement & Training
Upskill QA and dev teams on modern practices and tools.
§ 02Selected work—
Engagements where the QA function moved the business — not just the test count.
QA Team Leadership & Hiring
Built and scaled QA practices across multiple scrum teams. Hired and onboarded senior engineers, established quality engineering standards, and rolled them out org-wide.
8 teams
scaled across the org
LeadershipHiringStandards
AI Tooling Implementation
Led rollout of AI and language-model tools across test automation workflows. Improved authoring efficiency, reduced flake, and decreased the path from feature merge to verified release.
60% less
manual authoring time
LLMsAutomationTooling
Cultural Shift to AI-Driven QA
Facilitated organizational adoption of language-model-based workflows. Shifted team mindset from traditional manual testing to AI-augmented quality engineering through pairing, playbooks, and embedded coaching.
3 quarters
to full team adoption
Change mgmtEnablement
Accelerated Delivery
Demonstrable reduction in time to market through process optimization, automation improvements, and removing the QA bottleneck from the release pipeline.
40% faster
time to market
VelocityProcess
§ 03About—
I've spent the last decade-plus building quality engineering practices that ship.
I work with engineering leaders to take quality from a downstream cost center to an upstream accelerator — through strategy, automation, and the careful introduction of AI into testing workflows.
My engagements are pragmatic: built around the team you have, the codebase you already ship, and the business outcomes that matter to your roadmap.
§ 04Common questions—
Things engineering leaders ask before we start.
- What kind of engagements do you take?
- Project-based QA transformation, fractional Head of QA, test-automation framework builds, AI-in-QA integration pilots, and team training. Engagements range from a 2-week diagnostic audit to multi-quarter strategic partnerships.
- Do you work remote, or only on-site?
- Both. I'm based in Toronto, Canada, and work primarily with remote and distributed engineering teams worldwide. On-site visits during kick-off or training sprints are available where it makes sense.
- How is consulting different from hiring a full-time QA lead?
- A consultant brings cross-industry pattern recognition and an outside perspective with no internal politics. For most companies a senior QA hire takes 6–9 months to ramp up and start changing systems; an engagement starts producing roadmap and quick wins in week one. Consulting is also the right shape when you need transformation without the long-term headcount.
- What's your approach to AI in QA workflows?
- Pragmatic. AI tools today reliably accelerate test authoring, triage flake, and convert manual scenarios into automated specs — provided humans stay in the loop on coverage decisions. I help teams adopt LLM-assisted testing without losing the discipline of intentional coverage strategy.
- How do you measure success on a QA engagement?
- By delivery metrics, not test counts: time from feature merge to verified release, escaped-defect rate per quarter, automation maintenance cost, manual-authoring hours per sprint, and engineering confidence at deploy time.
- What size of company do you work with?
- Mostly Series A through enterprise — anywhere from 20-engineer scale-ups to 200+ engineer organizations rolling out QA practices across multiple scrum teams.
§ 05Get in touch