Featured projects
Each of these is a working, AWS-native product you can open and try. They lead with the business problem and are honest about the trade-offs, and together they cover grounding, agents, trust, and the jump from prototype to production. Filter by focus area below.
Showing 4 items.
An AI platform that turns fragmented, high-risk support cases into cited, evidence-backed resolution recommendations, and keeps a human in control of every decision.
Problem
Enterprise support teams sit on scattered case data and tribal knowledge, and most AI demos ignore the governance reality of acting on a real customer account.
An operating system for a job search that keeps its whole state continuously understood, ranks what deserves attention across dimensions you weight yourself, and leaves every decision to you.
Problem
A job search is not a list of applications but a state to maintain, and that state moves across dozens of asynchronous conversations faster than anyone can hold in their head.
A governed multi-agent system that drafts evidence-backed answers to security questionnaires, catches unsupported commitments before they become liabilities, and routes anything risky to a human.
Problem
Security questionnaires stall enterprise deals for days, and an AI that auto-answers them will confidently commit a company to things it cannot back up.
An interactive AWS Solutions Architect (SAA-C03) playbook with 118 topics, decision guides, and a grounded AI tutor that answers only from the material it can cite.
Problem
Most cert prep is passive recall. The harder skill, and the one the exam actually tests, is reasoning through architecture trade-offs under real constraints.