Work I can show you.

An interactive infographic built as a reference portal for enterprise teams evaluating and adopting Claude. It pulls together capabilities, integration patterns, and the PMP delivery touchpoints I rely on when scoping an engagement.

The portal lives inside a Claude artifact — fitting, given the subject — and is the kind of asset I'd hand a client on day one of a Generative AI program.

• Demonstrates fluency with Anthropic's native artifact + Claude.ai workflow.
• Shows how I translate vendor capability into client-ready reference material.
• Bridges PMP discipline (scope, stakeholders, deliverables) with frontier-model tooling.

A digital and audio situation report agent built on AWS. It composes a multi-domain morning brief — AI/ML developments, the EverydayAI podcast, regulatory threads, market and weather conditions — and uses Amazon Polly to render the text into a listenable audio brief for the drive.

• End-to-end agentic workflow: retrieval, synthesis, and audio rendering.
• Real production discipline — observable, scheduled, recoverable.
• Pattern is portable to any client needing executive situational awareness.

A working reference for Agile delivery on AI/ML programs — grounded in the Agile Alliance Manifesto, PMI-ACP frameworks, and adapted for the non-deterministic realities of generative and agentic AI.

Covers the 4 values and 12 principles, the March 2026 PMI-ACP Exam Content Outline, adapted sprint ceremonies for GenAI, the Minimal Viable Agent pattern for agentic delivery, framework selection guidance, and a full toolkit of AI project templates.

• Demonstrates that delivery methodology is as central to the practice as model selection.
• Shows how PMI-ACP discipline and Agile Alliance principles are adapted — not abandoned — for AI programs.
• Addresses the most common failure mode in enterprise AI: strong model, undisciplined delivery.
• Directly applicable to client engagements — this is the methodology framework I bring to every program.