AI Engineering Lead at Inument. Previously Dayforce and other Toronto enterprise platforms.
No pitch decks. 30 minutes. The brief sets the bar.
Cumulative output
Built for
Verified credentials
Plus a Master of Technology Management (Memorial University of Newfoundland, 2026) and seven additional credentials from Google, Glasgow, Penn, Rice, IBM, and Microsoft.
Selected outcomes
$7.5M
LLM forecasting platform on Azure OpenAI with RAG. Surfaces hidden risk in pending transactions before they become losses. Reduced manual data-processing workload 67%.
99.97%
Real-time microservices handling 500K+ daily transactions for a Toronto enterprise software platform. 35% latency reduction. 10x traffic capacity. CI/CD release cycle from 2 weeks → 2 days (86% improvement).
$50M+
Spearheaded the AML/BSA compliance engineering program that enabled Ceridian's National Trust Bank Charter acquisition. Architected enterprise .NET Core APIs supporting 500K+ daily financial transactions.
Frequently asked
Three types. (1) Hands-on AI engineering lead — 8 to 16 weeks, 20–40 hrs/week. I architect, code where it matters, and own the delivery. (2) Fractional CTO / technical advisor — ongoing, 8–16 hrs/week. Architecture decisions, hiring calls, vendor selection, technical due diligence. (3) Fixed-fee architecture review or technical due diligence — 1–2 weeks. Pricing varies by scope; surfaced on the discovery call.
Yes — Canadian citizen, based in Toronto, Ontario. I work standard EST/EDT business hours and have full overlap across all North American time zones.
Financial services and HCM (Dayforce / Ceridian — AML/BSA, payroll, embedded financial services), AI/LLM platforms in fintech (Inument / Gifty), real-time transactional systems for a Toronto enterprise software platform (employer under NDA), and earlier-career healthcare clinical-trial systems on AWS under HIPAA + FDA.
Both. AWS Certified Solutions Architect — Professional (SAP-C02), Microsoft Certified Azure Solutions Architect Expert (AZ-305), and Microsoft Certified Azure AI Engineer Associate (AI-102). Recent five years are primarily Azure (Dayforce, Inument). AWS comes from earlier healthcare and government work, plus the SAP-C02 architect-level exam earned January 2026.
Both. The AI Engineer credential and the LLM analytics work at Inument are recent. The AZ-305, SAP-C02, and 13 years of .NET / Azure / microservices architecture mean I can lead conventional cloud-native engagements equally well — or hybrid engagements where AI is one workload among many.
Detailed case studies are being prepared and will appear under /work shortly. In the meantime, I'm happy to walk through any of the engagements above on a 30-minute call — that's usually a faster path than a written case study, since you can ask the questions you actually care about.
One new engagement opening for Q3 2026. Send me your roadmap or a short brief — I'll send back a written assessment within two business days.