The Work
Technical SEO for a site like Lenovo.com (enormous, multilingual, constantly changing) can't be done by hand. So I stopped doing it by hand: partnering with Lenovo IT, I developed an SEO Agent that increased operational efficiency by 90% through automated technical audits and recommendations. The audit doesn't wait for a quarterly review; it runs continuously.
That's the pattern across my technical work: find the repetitive expert task, then build the system that does it. The same builder mentality produced the crawl and entity infrastructure in the 4ort galaxy: an API-first crawler that mapped 191,000+ ecommerce domains, a knowledge graph serving ~40M entities, and structured-data pipelines built in Python and TypeScript from the ground up.
Structured data is a particular focus. Not just schema for rich results, but entity layers designed for the machines that increasingly read the web: search crawlers, answer engines, and autonomous agents.
Capabilities
- Audit automation: agent-driven technical auditing and recommendations, running continuously instead of quarterly
- Structured data at scale: Schema.org / JSON-LD implementation across global templates, for search engines and AI consumers
- Crawl engineering: building crawlers and data pipelines (Python, async httpx) rather than just operating off-the-shelf tools
- Enterprise site architecture: crawlability, indexation control, and template optimization for massive multilingual sites
- SEO automation development: custom tooling in Python and TypeScript, integrated with APIs and data flows
- Platform partnership: working directly with IT and engineering to ship technical SEO at the platform level