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 — UGC script generation, screenshot-to-report pipelines, creator discovery — 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.
Each came out of the same complaint on the job: a marketing task — writing scripts, chasing screenshots for reports, hunting creators by hand — that was repeatable enough to automate. This page is home base; the tools below are extensions of it, not the other way around.
Briefing a creator used to take twenty minutes of writing per script. This takes a brand brief and a creator's tone and returns a timecoded UGC script — hook, body, proof, CTA — in seconds, with batch mode for whole campaigns and export straight to Google Docs.
Campaign reporting meant collecting screenshots from creators and retyping metrics into a spreadsheet. This reads the metrics off the screenshots automatically, holds them in a review queue for a human check, and outputs a client-ready brand report.
Sourcing a shortlist by hand means hours of scrolling and a spreadsheet that goes stale. This takes the parameters — platform, niche, audience size, engagement rate, geography — and returns a matched, ranked shortlist ready to outreach.
M.Sc., Computer Engineering