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
Helping mid-market American companies be in the 5% that capture real value from AI.
A 25-question diagnostic that maps your organization to a stage on the AI Native Adoption Cycle. Reveals where you lead, where you lag, and what to do first.
Take the assessment →A week-by-week execution plan for CIOs and CTOs. From shadow AI audit to running pilot to business case. Named owners, costs, and definitions of done.
Get the guide →A focused briefing on what separates the 5% from the 95%. Data-driven. No vendor pitches. Designed for C-suite decision-makers.
Schedule a session →The technical depth behind the strategic advice.
RAG pipelines, custom evals, model fine-tuning, and agentic systems. From prototype to production on AWS Bedrock.
PII/PHI controls, security guardrails, and compliance frameworks for AI in defense and healthcare.
Internal tooling, CI/CD hardening, and infrastructure-as-code. Rootless containers, immutable images, automated security scanning.
ML pipelines, model serving, observability, and cloud infrastructure. Python, FastAPI, AWS.
Featured executive workshop for corporate leaders. Data-driven analysis of where AI delivers real returns, what the top performers do differently, and a 90-day action plan.
Read the research →Why open source AI is the only way out for regulated developers. How banks and defense agencies adopt AI without compromising security.
Read on LinkedIn →A week-by-week execution plan for CIOs and CTOs at companies with 200–2,000 employees. Named owners, costs, and definitions of done at every step.
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