I run influencer and content programs the way an engineer runs infrastructure — sourcing, briefing, and reporting as repeatable processes, not one-off effort. Computer engineering background, marketing execution, and a habit of building AI-powered tools for the parts that shouldn't need a human.
My work has sat at the edge of content and operations for five years — first running paid social and account growth, then owning full influencer programs end-to-end: sourcing, briefing, compliance, delivery, and the reporting that proves it worked.
On the side, I build AI-powered internal tools — automated script generation, screenshot-to-report pipelines — that turn repeatable marketing work into infrastructure. That habit comes from the Computer Engineering degree; it matters more day-to-day than expected. I'm now looking for a role — influencer marketing, content ops, growth, or program management — where that combination is useful, not just influencer marketing specifically.
Both came out of the same complaint on the job: a marketing task — writing scripts, chasing screenshots for reports — that was repeatable enough to automate. This page is home base; the tools below are extensions of it, not the other way around.
Takes a brand brief and a creator's tone and drafts a timecoded short-form script — hook, body, proof, CTA — in seconds instead of the twenty minutes it takes by hand. Supports single, batch, and saved-preset generation, with export straight to Google Docs.
A campaign performance tracker: screenshots of post metrics go in, a reviewed dataset and a printable brand report come out. Uses Claude Vision to read metrics off screenshots, with a human review queue before anything ships to a client.
M.Sc., Computer Engineering