About
Data-driven SEO data engineer with a decade of experience driving enterprise-level organic growth for Fortune 500 brands. My work sits where search, structured data, and machine learning meet commerce: product feeds, schema, and the pipelines that decide whether a machine can understand a catalog well enough to surface it. I build scalable systems that integrate Python, APIs, and analytics to forecast performance and accelerate organic revenue, bridging strategy, engineering, and marketing to deliver measurable impact at scale. I'm a graduate of Eastern Michigan University.
What do I write about here?
Two arguments, mostly. The first is that the structured product feed has become the storefront: as AI generates answers, ads, and even landing pages from a merchant's own data, completeness and accuracy of that data turn into the primary control lever. The second is that machines read structure, not pixels; clean semantic HTML, server-rendered schema, and embeddable item data increasingly decide what gets understood and surfaced.
How is this different from a LinkedIn feed?
Each piece here restores the technical layer that the short-form format drops. A LinkedIn post is the compressed surface; these are the worked sessions behind it, with the sources, the caveats, and the mechanics intact. Where a finding is my inference rather than the source's claim, I label it as such.
Track record
A decade across enterprise and Fortune 500 organic growth in automotive, banking, mortgage, and building products, building the SEO automation, CRO experimentation, and AI-powered search systems behind that impact.
- SEO Data EngineerBrightEdge2025–present
- SEO Product ManagerPella2024–2025
- SEO Product Manager, AVPU.S. Bank2023–2024
- SEO LeadBrightEdge2022–2023
- SEO ManagerRocket Mortgage2019–2022
- Senior SEO AnalystCDK Global2018–2019
- Digital Marketing ManagerGeneral Motors2017–2018
Where else can you find me?
I publish short-form takes and video onLinkedIn andYouTube. The long-form home is here.
