Revenue Operations Leader, Revenue Architect, and GTM Engineer. Nearly two decades running ops across startups, unicorns, hyperscalers, and billion-dollar brands — where the job was never just managing the stack, it was building the motions that win real revenue. What this portfolio shows is what that looks like when the execution layer finally becomes AI-native.
An AI-native operations layer for revenue teams.
A conversational layer across the entire GTM stack. Classifies intent in plain English, dispatches to the right specialist, pulls live context from every connected system, and learns from every correction. Replaces the operational glue work that used to eat a full day every week.
Quarterly Business Reviews, generated on demand.
An MCP server any CSM can talk to. Pulls live data from the customer intelligence stack, resolves the brand system, and hands back a near-complete QBR deck in under two minutes. Replaces a three-hour manual build that used to run every quarter for every enterprise customer.
Weekly digest + pre-call brief, one signal chain.
HomeDrop tells a rep what changed across their book this week. Intel Chat tells them what to do about one account right now. The unified product closes the loop between them — every digest card is one click from a seeded chat, every chat reshapes next Monday's digest.
Five skills, one operating capability.
Attribution, hygiene, campaign ops, reporting ops, and a weekly data refresh — each running on command or on a schedule, all learning from corrections. The kind of work that used to require a dedicated Marketing Operations hire, running inside Cascade as a single operating capability.
A per-rep weekly digest, rebuilt for scale.
Every Monday, every rep wakes up to a per-account briefing on what changed in their book the week before. v1 proved the value. v2 answered everything v1 got wrong about scale — deterministic signal extraction, per-rep filtering, Slack-native delivery, observable pipelines. The upstream half of the Sales Intelligence Hub.
The brain, in a repo.
Clone on any machine, run bootstrap.sh, and restore the full Cascade setup in under a minute. 142 agents, 41 custom skills, hook runtime, every MCP connector wired up. The foundation every other project in this portfolio runs on.
Most teams start with the showy loop. That's backwards. The loops that compound are the ones that capture institutional memory first — which is almost always data hygiene and attribution.