About
I'm a GTM operator with a track record of building revenue systems from scratch. I do my best work at the intersection of go-to-market strategy, systems building, and relationship development.
I spent the last three years at Chapter, a Medicare guidance startup, where I built the partnerships function from the ground up. During that time, Chapter raised from series B to series D and grew 10x.
Before that I was a financial advisor at a small RIA in Boston. It was there that I cultivated a love for the intersection between psychology and personal finance. I also became obsessed with financial incentives — an obsession that ultimately led me to change career paths.
I took the past few months off to travel, write, and deepen my technical skills while figuring out what I want to build next. I believe the future of the go-to-market space belongs to technical generalists with earned sales intuition and a love for building systems in messy spaces.
In my free time I enjoy playing tennis, guitar, writing, anything philosophy or neuroscience, and traveling (usually somewhere with no cell service).
Experience
2022 — 2025 Partnerships Lead · Chapter
Led GTM strategy across all partnership verticals, scaling from a solo role to a team of three. Selected and deployed the full GTM tech stack and owned RevOps infrastructure end to end. Built the outbound engine responsible for roughly 80% of Chapter's revenue as the company grew from Series B to Series D.
2020 — 2022 Financial Advisor · McAdam Financial
Built a financial advisory book of business from scratch with 100% client retention. Selected within the first five months to teach client acquisition tactics company-wide based on conversion ratio.
Projects
Automated Lead Scoring and Outreach Engine
AI-powered automated enrichment, firmographic scoring, pain signal detection, ownership assignment, and customized outreach generation. Integrated end-to-end with a live HubSpot CRM.
Lead Enrichment
Enriches companies via PDL API with employee count, revenue, industry, and tech stack
ML Scoring Model
Trains a logistic regression model and scores HubSpot companies as ICP fit (0-100)
Pain Signal Detector
Detects relevant pain signals from news data and writes structured results to HubSpot
Territory Router
FastAPI webhook service that routes new companies to reps by territory and company size
AI Outreach Engine
Claude-powered pipeline for ICP classification, intent detection, and outreach generation
Analytics Dashboard
Streamlit dashboard for company filtering, routing audit, and pipeline health projections
AI Sales Call Scorer
A three-pass AI scoring system for sales calls. Scores rep performance against a weighted rubric, generates specific coaching feedback, and evaluates opportunity fit independent of how well the rep executed.
- Python
- Claude API
- JSON