Product Design Engineer · Product Builder · AI-Assisted Product Engineering · UX Systems

Turning ambiguous business and user problems into designed, built, tested, and measurable digital products.

I’m a Product Design Engineer and Product Builder with 10+ years of experience designing, building, and scaling digital products across SaaS, e-commerce, HealthTech, FinTech, retail, media, and high-traffic platforms.

I work across the full product lifecycle—from discovery, product strategy, and UX architecture to design systems, prototyping, implementation, testing, deployment, analytics, and continuous iteration.

My work increasingly sits at the intersection of product, design, AI, and engineering. I use AI-assisted and agentic development workflows to move faster from hypothesis to production while maintaining product judgment, usability, accessibility, security, technical quality, and business alignment.

• 🧭 Product discovery, strategy, prioritization, scope, and delivery
• 🧩 UX architecture, user flows, UI, prototyping, and design systems
• 💻 Production interfaces with React, TypeScript, JavaScript, Astro, and modern CSS
• 🤖 LLM workflows, AI integrations, agents, MCPs, context engineering, and automation
• 🔌 APIs, webhooks, backend workflows, and third-party integrations
• 🗄️ Supabase, PostgreSQL, Strapi, headless CMS, and modular architectures
• 🚀 Git/GitHub workflows, CI/CD, Docker, deployment, and release processes
• 🛡️ Testing, accessibility, security, quality gates, and production hardening
• 📊 Analytics, CRO, technical SEO, AEO, GEO, structured data, and performance
• 🤝 Cross-functional leadership across business, product, design, engineering, and growth

Discover → Define → Design → Build → Test → Ship → Measure → Iterate

• Start with the problem, not the requested feature
• Reduce ambiguity through research, data, and rapid experimentation
• Translate business requirements into product systems and technical decisions
• Move between Figma, code, AI workflows, data, and production environments
• Use design systems and reusable components to keep design and engineering aligned
• Use AI to accelerate execution—not replace product or engineering judgment
• Validate with automated tests, quality gates, accessibility, security, and real user behavior
• Document architecture, decisions, workflows, and operational knowledge
• Measure outcomes and continuously improve after launch

I use AI as part of the product development system—not only as a content or coding assistant.

My workflows include:

• LLM-assisted product research and synthesis
• Context and prompt engineering
• Codex and Cursor development workflows
• Agentic and multi-agent execution
• MCP-based tool and context integration
• API and webhook orchestration
• Structured outputs and deterministic validation
• Human-in-the-loop approval
• Automated testing and verification
• AI cost, latency, reliability, and quality evaluation

The goal is simple: ship faster without losing control of the product.

I treat production readiness as part of product design.

My work includes:

• Unit, integration, smoke, and E2E testing
• CI/CD and automated quality gates
• Accessibility and WCAG
• Authentication and authorization
• Row-Level Security and data isolation
• Secrets and environment management
• Threat modeling and security hardening
• Performance and Lighthouse validation
• Release, staging, and production workflows
• Technical documentation and operational runbooks

I connect product architecture with how products are discovered, understood, and measured across traditional search and AI systems.

SEO · AEO · GEO · Structured Data · Schema.org · Analytics · CRO · Performance · Accessibility · AI Discoverability

I don’t stop at screens—or handoffs.

I work across product, design, AI, engineering, data, and delivery to turn complex problems into products that can be shipped, measured, operated, and continuously improved.