12+ years turning turbulent, undocumented systems into calm, governed infrastructure — Quote-to-Cash architecture, CPQ platforms, and AI-native operations for high-growth SaaS companies.
I'm a GTM/RevOps leader and technical generalist who fuses Mechanical Engineering analytical rigor with Quote-to-Cash and applied-AI systems architecture. Over 12+ years, I've been the person organizations call in when a system is undocumented, a platform needs replacing, or an operations function needs to be rebuilt from the ground up under pressure.
My work sits at the intersection of CPQ architecture (Salesforce CPQ, DealHub, Zuora, NetSuite, Xactly), RevOps middleware (LeanData, Ironclad, MuleSoft, Workato), and production AI agent design — and I stay hands-on with configuration even while directing and upskilling technical teams of engineers, admins, and analysts.
Titles like "Staff BSA" and "Senior Operations Manager" undersell the scope of what I've actually owned: end-to-end platform selection, VP-level business cases, cross-functional governance, and revenue-integrity ownership across multi-billion-dollar product lines. This site is meant to show that scope directly.
Six capabilities that show up in every engagement — from identifying the opportunity to shipping a system and proving it moved the number.
Five systems I designed, rebuilt, or led end-to-end — chosen to show range across platform strategy, crisis turnaround, governance design, and AI-native operations.
ClickUp's sole SalesOps resource departed with zero documentation on LeanData's routing configuration. Lead routing errors sat near 50%, actively degrading sales response time.
ClickUp's Salesforce CPQ instance, in place for years, was constraining flexibility, automation, and AI integration as the company scaled — with no existing vendor shortlist or governance playbook for a platform-level replacement.
RevOps ran on manual, human-intensive workflows with no internal playbook for redesigning operations around AI — and no quality framework to trust AI output at scale.
Motive's Quote-to-Cash infrastructure needed a full overhaul to keep pace with rapid GTM growth, spanning New Business, Amendments, Renewals, Cancel & Replace, Early Renewals, and Approvals — with competing priorities across five departments.
MongoDB's Bookings & Commissions team of six engineers was effective but operated without standardized technical design documentation, formal UAT, or consistent deployment standards — limiting audit-readiness and onboarding speed.
Four principles that show up in every transformation I've led, regardless of company or platform.
Platform decisions need governance frameworks and change management built in from day one — not bolted on after go-live. I lead transformation from vendor evaluation through organizational adoption.
The highest-value use of AI in RevOps is disciplined automation of high-volume manual work — with QA rigor that lets the org actually trust the output.
I build documentation, UAT protocols, and design standards that become the team's baseline — not tribal knowledge that walks out the door with one person.
Technical depth is only useful if it moves executive decisions. I turn architecture tradeoffs into business cases that Finance, Legal, and Sales leadership can act on.