Revenue & sales operations
Pipeline hygiene, forecasting, territory and quota design, and enablement that keeps reps selling instead of wrestling with tools.
Open to RevOps / BizOps leadership & Zoho / CRM consulting
I build systems
I build systems
people actually use.
RevOps & BizOps leader for B2B SaaS. I turn tangled tools and manual handoffs into clean, automated revenue systems — built for the humans who use them.
What I do
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Operations that connect people, tools, and revenue.
I work at the seam between go-to-market teams and the systems behind them — designing process and automation that people adopt because it makes their day easier.
CRM & marketing automation
End-to-end CRM builds and clean handoffs across marketing, sales, and success — deep in the Zoho ecosystem and adjacent automation platforms.
Business operations
Cross-functional process design, channel and partner management, and the operational plumbing that lets a company scale without breaking.
AI-enabled operations
AI-assisted web apps and workflows that remove manual busywork — practical automation shipped to production, not slideware.
Capabilities
A full-stack operator's toolkit.
Spanning medical-device sales and operations, B2B SaaS revenue teams, and hands-on systems building — a rare blend of GTM instinct and technical depth.
Revenue & GTM
Systems & Automation
AI & Build
Selected impact
Systems that moved the number.
A snapshot of outcomes from building and running revenue systems end to end.
$980K
2025 · revenue impact
Revenue impact in 2025, driven by tightening operations, cleaning up CRM and pipeline, and automating the handoffs that used to leak deals.
// operations + automation + enablement
Channel · MRR
$25K–$45K
Monthly recurring revenue from an Amazon distribution partnership I built from scratch — sourced, structured, and operationalized.
// partnership built from zero
Approach
Adoption is the metric that matters.
A system only creates value when people use it. I design for the human on the other side of the workflow — so the process gets adopted, the data stays clean, and the automation keeps compounding long after go-live.