I design and build API documentation ecosystems that connect engineering, product, and business — unifying OpenAPI governance, CI/CD DocOps, and SDK generation to empower customers from day one. From enterprise documentation platforms to full-stack demonstration systems, every implementation emphasizes scalable architecture and comprehensive documentation that serves both human understanding and AI-agent consumption. Every solution aligns technical delivery with strategic business goals.
Documentation as business architecture, not just content delivery
I approach documentation not just as content, but as a critical system within the business architecture. It should evolve with the product lifecycle, reflect governance needs, and enable scalable developer onboarding, support, and automation.
Aligns with product and platform strategy
Enables governance, analytics, and automation
Integrates seamlessly into CI/CD and DevOps workflows
Complex documentation ecosystems designed for scale and integration
Multi-product OpenAPI governance with automated SDK generation and developer portal integration
Advanced API design toolchain with collaborative workflows and enterprise governance demonstration
Automated forex trading interface with custom strategy algorithms and signal execution via OANDA API integration
Power of 10 API integration with Python data cleaning modules and SQL database, plus management UI for athlete insights
Deep technical capabilities across the entire documentation infrastructure lifecycle.
Reduce onboarding friction with structured OpenAPI workflows and interactive SDK examples.
Self-service documentation architecture eliminates repetitive developer questions.
Automated testing pipelines with Arazzo scripting catch breaking changes before release.
WCAG 2.1 AA accessibility standards and audit-ready documentation governance frameworks ensure regulatory adherence.
Structured schemas and semantic markup enable intelligent agent consumption for automated self-service guidance.
Integrated analytics dashboards reveal real user behavior patterns, enabling focused improvements and content optimization.
Multi-tenant documentation systems with microservice integration patterns that scale from startup to enterprise volume.