I’m a Distinguished Full-Stack & AI Platform Architect within Enterprise Architecture at a leading financial services firm (TD Bank). I set the strategy, standards, and platforms that power predictive and generative AI across lines of business, then I review and approve solution architectures to ensure they’re secure, compliant, performant, and cost-effective at scale.

I design and govern the full stack: data and feature pipelines, vector/feature stores, model registries, retrieval pipelines, prompt & policy orchestration, evaluation harnesses, observability, and CI/CD for ML/LLM (MLOps/LLMOps) on hybrid cloud/Kubernetes. My mandate: turn high-value use cases into production systems with clear ROI while meeting model risk, security, privacy, and regulatory requirements.

What I do:

Lead enterprise AI platform strategy, reference architectures, and reusable patterns (RAG, fine-tuning, agentic workflows).

Chair/approve AI solution designs; codify guardrails (governance, lineage, access, PII/PCI, Responsible AI) and SLOs for latency, resiliency, and cost.

Stand up shared services—prompt management, evaluation & red-teaming, policy enforcement, and FinOps for AI/compute.

Partner with business, risk, and tech leaders to accelerate delivery from PoC to production.

Prior impact (select)

Built an offshore GenAI practice from 0→45+ in a year to support a $50M+ portfolio for a top software client; delivered custom RAG copilots, synthetic data pipelines, and domain model fine-tuning integrated with enterprise systems.

9+ years in conversational AI & contact center automation, delivering at scale with technologies like Microsoft Bot Framework, Copilot Studio/PVA, and M365 Copilot.

Focus areas
RAG architectures • LLMOps/MLOps • Vector databases • Model lifecycle & MRM • Guardrails & policy orchestration • Evaluation & red-teaming • Data products • Cost/performance engineering • Hybrid cloud/K8s • Observability & lineage • Regulatory compliance • Secure SDLC for AI

I’m passionate about building high-performing, diverse teams and scaling AI responsibly, so the business moves faster with confidence. If you’re shaping enterprise AI platforms or bringing complex use cases to production, let’s connect.