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I bridge executive-level program leadership with hands-on product building. Across more than 15 years, I have led complex technology portfolios, enterprise software delivery, cross-functional transformation, governance, risk, adoption, and executive reporting. I also use AI-assisted development to turn product ideas into working applications, e-commerce experiences, automated tests, and delivery pipelines.
- Strategy through execution: roadmaps, milestones, operating cadences, portfolio governance, dependencies, risks, resources, budgets, and measurable outcomes.
- Hands-on AI-assisted delivery: rapid prototyping, requirements-to-code translation, debugging, documentation, testing, and iterative product improvement.
- Commerce technology: Shopify product and variant integration, storefront behavior, checkout safeguards, catalog validation, and deployment automation.
- DevSecOps discipline: GitHub Actions, Playwright end-to-end testing, linting, secret detection, SAST, dependency scanning, and protected production environments.
- Responsible AI thinking: documented boundaries, deterministic calculations where precision matters, citations for regulated topics, human review, and explicit escalation paths.
| Project | What it demonstrates | Evidence |
|---|---|---|
| Law Suite | Legal-AI product prototype: practitioner matter review plus a Firm Operations admin module for adoption analytics, SSO/SCIM/RBAC governance coverage, access review, and leadership reporting | Repo docs · Live preview |
| MyWowPet | Shopify-connected e-commerce delivery, Firebase integration, automated testing, CI/CD, security gates, and operational documentation | Case study · Live launch page |
| AlwaysWomen | Live Shopify storefront delivery, sustainable-fashion merchandising, category navigation, international shopping support, and customer-experience design | Case study · Live store |
| DiamondEcho | AI-enabled property intelligence, deterministic deal analysis, responsible-AI guardrails, React/FastAPI delivery, and frontend/backend CI | Case study |
| Edge Racer | AI-assisted product prototyping, React/TypeScript game development, Firebase authentication, cloud progress, and global/country leaderboards | Case study |
MyWowPet is a decoupled e-commerce implementation combining a custom storefront, Firebase services, and Shopify commerce capabilities. The repository contains:
- Shopify product and variant mappings for a 24-product catalog
- Fail-safe purchase controls when a valid Shopify variant is unavailable
- Cart and checkout integration
- Playwright tests across desktop and mobile browser profiles
- GitHub Actions for linting, end-to-end testing, and scheduled regression runs
- DevSecOps gates using Gitleaks, Semgrep, and Trivy
- CI/CD configuration guidance for Shopify theme deployment and protected production environments
- Architecture, training, audit, and operational runbook documentation
AlwaysWomen is a live Shopify lifestyle storefront focused on sustainable apparel and accessories. It demonstrates a second e-commerce delivery context with:
- curated collection and category navigation
- product merchandising, pricing, availability, and sold-out states
- cart, checkout, customer login, and policy experiences
- international country/region and currency selection
- email subscription and customer-acquisition touchpoints
- AI-assisted concept development, storefront refinement, and launch validation
Visit AlwaysWomen · Read the case study
- Lead a portfolio of 30+ concurrent technology initiatives while sustaining 95%+ on-time delivery
- Improved on-time delivery by 45% and reduced cost overruns by 25%
- Increased Agile Release Train throughput by 30%
- Accelerated healthcare application time to market by 25%
- Trained and mentored 150+ practitioners across Agile, Waterfall, and hybrid delivery
Shopify · JavaScript · TypeScript · React · Python · FastAPI · Firebase · Firestore · Playwright · GitHub Actions · Jira · Azure DevOps · MS Project · ServiceNow · Confluence
- Project Management Professional (PMP)
- SAFe 6 Practice Consultant (SPC)
- SAFe 6 Release Train Engineer (RTE)
- Certified Information Systems Auditor (CISA)
- AI Product Management Specialization — Duke University
- Managing AI Projects: From Strategy to Delivery — Johns Hopkins University
- MBA, Business & Technology — Illinois Institute of Technology, in progress
I use AI coding tools as accelerators for discovery, prototyping, implementation, debugging, testing, and documentation. I remain accountable for the product requirements, architecture decisions, integrations, security controls, validation, deployment workflow, and final outcome. In an interview, I can explain what AI accelerated, what I reviewed or changed, the tradeoffs I made, and how I verified the result.