AI & Automation | GTM Engineering
I build AI agents, automation and GTM systems that turn fragmented data and manual decisions into reliable operational workflows.
My background combines infrastructure and backend engineering with RevOps, agent systems and the tooling behind modern GTM teams.
- AI agents - research, classification, retrieval, routing and decision systems.
- MCP systems - servers and tools that connect agents to internal data, SaaS platforms and operational workflows.
- Closed-loop agent systems - downstream product and GTM signals feed back into upstream research, scoring, routing and actions.
- GTM systems - account intelligence, enrichment, qualification, CRM workflows and outbound systems.
- Backend systems - APIs, services, async workflows, data pipelines and cloud infrastructure.
Employment and mailbox checks for outbound teams.
stillthere checks whether each contact still works at the listed company and whether the work email should stay in the campaign. It catches stale contacts that mailbox verification alone can miss.
The result is a campaign-ready Send list, a Reject list with the reason each row stays out, and Recovery for departed contacts when a new company is found.
It keeps research time, campaign capacity and sending reputation from being wasted on contacts who already moved.
GTM systems engineering across the full B2B SaaS revenue motion.
Through StratumOps, I map how revenue actually moves across CRM, automation, billing, product, support and sales systems.
I design the connective systems behind that motion: unifying intent, enrichment, CRM, product usage and conversation data to score accounts, route work, recover pipeline and surface expansion opportunities.
I rank the highest-value gaps, then implement the signal pipelines, decision logic, agents, automations and feedback loops needed to close them inside the existing stack.
