GenAI, Agentic Engineering, Cloud

AI Strategy for the C-Suite · Technical Leadership for Engineering Teams

I build AI platforms and advise executives on where AI delivers real returns. Most companies deploy more tools, not better workflows—and end up with more email, more meetings, and the same output. The 5% that capture value do three things differently.

MIT Instructor · MSCS @ Northeastern · AWS Solutions Architect · Top Secret Clearance

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of companies capture real value from AI at scale

BCG, n=1,250+ & McKinsey, n=1,993

+104%

more email time after AI adoption — AI creates work, not just speed

ActivTrak, 163K employees, 443M hours

AI tools is the threshold — beyond that, overload and 34% quit intent

BCG, n=1,488

18 mo

competitive window before the cost of catching up rises structurally

Data flywheel + workforce learning compound

Technical Foundation

The technical depth behind the strategic advice.

AI/ML Platforms

RAG pipelines, custom evals, model fine-tuning, and agentic systems. From prototype to production on AWS Bedrock.

AI Governance

PII/PHI controls, security guardrails, and compliance frameworks for AI in defense and healthcare.

Developer Platforms

Internal tooling, CI/CD hardening, and infrastructure-as-code. Rootless containers, immutable images, automated security scanning.

MLOps

ML pipelines, model serving, observability, and cloud infrastructure. Python, FastAPI, AWS.

Writing & Speaking

MIT Instructor & Guest Lecturer 6.S093: How to Ship Almost Anything with AI (IAP 2026). "Context Engineering and RAG" workshop at MIT AI Studio. "Maximizing Claude Code" at the E14 Fund Hackathon.

Speaking Moderator, SundAI VC Panel: "How to Evaluate an AI Startup" with Pear VC, Tectonic Ventures, Milemark Capital (March 2026). Air Force IT Conference.

Writing AWS Official Blog Contributor.