Selected work across end-to-end product delivery, reusable frontend architecture, measurable growth systems, and reliable AI developer tooling.
06 systems · selected proofMIT
Designed and published the TypeScript and Node.js package, CLI, MCP runtime, coding-agent integrations, CI/CD, and release gates.
Durable context and specification-driven verification constrain coding-agent drift across long-running work.
Released as open-source MIT tooling with automated tests and gated publishing.
2–4×
Built the product across controlled LLM querying, crawling, analytics, scoring, deployment, and operations.
Connects page-level evidence to model-response drift and AI visibility monitoring.
Operates at <10 ms p95 and improved AI mention coverage 2–4× in controlled deployments.
cross-framework
Extracted complex e-signature flows into standalone, versioned libraries consumed by multiple applications.
Exposed framework-agnostic Web Components through stable APIs for incremental migration.
Reduced duplicate implementation and decoupled product flows from any one JavaScript framework.
+17%
Independently upgraded product-page templates and remediated technical SEO issues using RankLabs.
Combined product-template changes, structured technical fixes, and measurement across search and tracked LLMs.
Within two months, organic traffic rose 17%, tracked LLM visibility improved 43%, and AI referral share grew from 0.1% to 8% of external human sessions.
1,600+
Built the responsive SaaS across UI, APIs, retrieval, payments, data, deployment, and operations.
Combined Next.js, Supabase, Stripe, the OpenAI Responses API, and pgvector retrieval.
Reached 1,600+ users and validated demand through paid conversions.
Built the full-stack real-time risk workflow against production merchant data.
Combined client-side signals with server-side pre-transaction decision logic.
Delivered real-time risk and fraud detection before transaction completion.
Reusable systems adopted across federal R&D, experimentation, design systems, and high-traffic media.
~38%
Moved federal research interfaces toward production and established reusable frontend conventions across teams.
Combined modular UI libraries with Web Workers, parallel compute, lazy loading, and a 2D fallback.
Improved high-fidelity visualization performance by approximately 38%.
500+
Partnered with designers in Figma and delivered more than 500 A/B and multivariate experiments.
Contributed to token and atomic-component systems, Storybook, testing practices, and shared instrumentation.
Delivered shared instrumentation adopted across teams while expanding reusable experimentation and component practices.
millions / site
Independently revamped three sister sites and worked across BI, design, CRO, and product.
Improved frontend performance and conversion systems before the properties consolidated onto one platform.
Shipped across three media properties, each serving millions of monthly visitors.
I am considering Senior, Staff, and Principal roles where I can ship across the stack, improve the frontend platform, and build reliable AI-assisted engineering systems.
direct email · no scheduling gate