Software engineer turned GTM Engineer — the first engineer embedded in a go-to-market org. I scope, build, and ship the revenue machinery end-to-end instead of running plays by hand, so a small team sells like a much larger one. The kind of work thatreplaces paid vendors and gives reps their selling time back.
Enrichment & data pipelines
Signal detection, dedupe, and CRM data-governance that keeps reps pointed at real buyers — not noise.
Signal-based outbound
Intent and job-change detection that surfaces re-engageable buyers the moment the timing is right.
Lead scoring & routing
Conversion models that rank accounts and personas, and route the right rep to the right opportunity.
LLM & AI agents
Self-healing, cost-guarded pipelines that generate research-ready context at scale for every rep.
Intent & re-engagement detector
01Built a proprietary champion re-engagement system that outperforms the paid third-party intent vendor it replaced — surfacing more re-engageable buyers with fewer false alerts, and turning quiet accounts into net-new pipeline at a fraction of the cost.
LLM account-brief pipeline
02Auto-generates research-ready context for the whole sales floor across thousands of companies — self-healing, cost-guarded, and scaling to new reps at zero marginal cost.
SDR call-targeting model
03Turned tens of thousands of dials into a persona-conversion model that showed reps who to call first — shipped as a scoring model and per-rep coaching playbook to sales leadership.
Enrichment & dedupe pipelines
04Data-governance checks that clear false-positive signals before they misdirect reps — with self-auditing that caught a material reporting error before it ever reached leadership.
Clay
HubSpot
n8n
Apollo
Snowflake
Python
OpenAILet's build something.
Open to GTM Engineer and RevOps roles — remote or Miami. If you're building a go-to-market org that should run like software, let's connect.