About

I build GTM and revenue operations systems for early-stage companies. Most of my work sits where revenue teams usually break down: messy CRM data, disconnected tools, manual enrichment, unclear attribution, fragile outbound processes, and dashboards that do not answer the next operational question.

At STAN AI, I built RevOps infrastructure across HubSpot, Cal.com, Sales Navigator, Google Drive, Instantly, enrichment workflows, email verification, and outbound reporting. The work combined CRM architecture, lifecycle segmentation, scraping pipelines, n8n automation, and dashboards for top-of-funnel metrics, pipeline movement, and closed-won visibility.

Before that, I led business development and sales engineering at PredictNow.ai, where I helped drive $200K+ ARR from inception through sales and marketing campaigns, strategic partnerships, dashboards, investor materials, and client-facing ML solution work. I also co-founded BetBoard, a full-stack sports analytics product that shows my hands-on technical build range. My next role is focused on GTM engineering, RevOps, demand generation operations, sales operations, and business operations.

My background is a mix of mechanical engineering, business analytics, startup sales, revenue operations, and hands-on software work. That combination is useful in early-stage environments where the problem is rarely just strategy, just data, or just implementation. The work usually lives between all three.