Safkat NirjashToronto, CanadaAI 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
AZ-305
Azure Solutions Architect Expert
Microsoft
SAP-C02
AWS Solutions Architect — Professional
Amazon Web Services
AI-102
Azure AI Engineer Associate
Microsoft
PMP
Project Management Professional
PMI
CSM
Certified Scrum Master
Scrum Alliance
CSPO
Certified Scrum Product Owner
Scrum Alliance
A-CSD
Advanced Certified Scrum Developer
Scrum Alliance
Plus a Master of Technology Management (Memorial University of Newfoundland, 2026) and seven additional credentials from Google, Glasgow, Penn, Rice, IBM, and Microsoft. Full list on About.
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.