GTM ENGINEER PORTFOLIO · CAMBRIDGE, MA
GTM engineering, revenue automation, AI-assisted operations, and evidence-first decision systems—built with a founder-operator's understanding of the full customer journey.
SELECTED WORK
Each case starts with business friction and ends with a workflow a team can actually use.
Evidence-first GTM qualification copilot
A responsive, API-free account research workflow that converts configurable ICP criteria into transparent scores, evidence labels, risk penalties, and clear human Approve/Hold decisions.
Customer lifecycle and operating system
Built and operated the systems behind inquiry qualification, estimates, scheduling, CRM records, payments, customer communication, review generation, digital acquisition, and team handoffs.
From fragmented sales archives to reviewable operational data
Built an asynchronous pipeline that extracts shift, receipt, payment, and item-level JSON from distributed ZIP archives, validates the records, distinguishes sales and returns, enriches store metadata, and produces an Excel-ready report.
CONFIRMED EVIDENCE
No production customer data, LTV claim, or invented time-savings metric.
Fleet facts, normalized inventory, and snapshot reporting
Built separate VikiPrint, ATOL 5, and ATOL 2 parsers that transform vendor-specific device JSON and Foreman facts into one operational schema, consolidated CSV reporting, and a rolling history of the latest 15 snapshots.
VERIFIED LOCAL OUTPUTS
Record count is not presented as a unique-device count.
CAPABILITIES
I work at the intersection of business operations, automation, customer experience, and data—from CRM workflows and account scoring to Python pipelines and fleet reporting.
GTM systems & workflow design
ICP scoring & account qualification
CRM operations & customer lifecycle
Python data pipelines & automation
Foreman, fleet facts & reporting
AI-assisted business operations
HOW I WORK
I map the real workflow before choosing tools, make decision logic visible, design for clean handoffs, and keep humans responsible for consequential actions. The goal is not automation theater—it is a system people trust and adopt.