GTM Systems & AI Engineering @ Lumenis
I build systems that connect GTM data, decisions, and AI-driven action.
GTM Decision Engine · live demo
Evidence-backed champion tracking, GTM intelligence, and pipeline decisions with explicit uncertainty, provenance, seller feedback, and evaluation.
Account prioritization in Clay: progressive enrichment, evidence-backed GTM signals, deterministic scoring, separate confidence, buyer mapping and human QA.
Product Signal Router · live demo
Account-level product events scored against deterministic rules, with suppression, cooldowns and CRM-aware routing, seller feedback and false-negative auditing.
AI Case Intake Agent · live demo
Operational email → deterministic case identity → AI classification → auditable case state. A schema-constrained classifier judges each email; deterministic matching, thread memory and duplicate prevention decide what gets written, and anything uncertain goes to human review.
ai-sdr-agent: first touch on inbound leads. The model labels replies; rules decide scoring, suppression and handoff; anything uncertain goes to a person.
hubspot-revops-system: CRM architecture. Lifecycle as a forward-only state machine, routing as data, approvals that span workflows.
CRM architecture · GTM signals · revenue systems · AI agents · evaluation & guardrails · workflow automation
Public repositories are generalized reference implementations built on synthetic data. They contain no employer source code or confidential data.