As a full stack developer on small startup teams, my primary experience has been full ownership from scoping to shipping. I am well versed in AI and have made it my mission to be as efficient and effective with AI tools as possible.
Third-party setup: Third-party intake form (no validation), then Three disconnected tools, then Third-party pipeline, then Duplicate shipments (multi-month backlogs).
First-party system: Native intake flow (validation, error handling), then First-party pipeline, then One database (all history migrated), then Admin panel (tracking, search, status), then PDF generator (rebuilt).
ResultProcessing and delivery time cut by roughly two-thirds on a $750K annual revenue line.
Notes
01Lead developer on the ordination-documents suite. Rebuilt a failing third-party pipeline handling a significant amount of the company's customers and revenue into a first-party system, cutting document processing and delivery time by roughly two-thirds on a $750K annual revenue line.
02Scoped and prioritized work directly with the CTO and Head of Product. Continuously cross collaborated across the organization in order to pivot to most needed ongoing product improvements.
03Consolidated customer records scattered across three disconnected third-party tools into one first-party database, migrating all historical data and eliminating the duplicate shipments and multi-month backlogs the old system produced.
04Created a native intake flow to replace the third-party form, cutting redundant customer service questions and adding the validation, error handling, and data structuring the old form lacked.
05Built the admin panel the team now runs the product on, covering order tracking, search, and status management, plus secure customer document uploads.
06Rebuilt and optimized a PDF generator to fulfill hardware requirements and improve customer dissatisfaction.
Recommendation engine: Guided intake, then Buyer profile, then Batched Claude API calls (over live listings), then Price, history, market trends, then Matches with reasoning.
Alongside it: Streaming chat assistant (on-topic guardrails), then Authentication, then Stripe billing.
ResultArchitecture, data model, auth and billing, built end to end.
Notes
01Co-founded an AI-powered car-buying advisor that educates buyers from research through deal analysis, aggregating data on nearly every vehicle on the market and distilling it into what each buyer actually needs.
02Built the product end to end on Next.js, TypeScript, PostgreSQL, Stripe, and the Claude API, covering architecture, data model, authentication, and subscription billing.
03Designed the schema and user-profiling system behind the recommendation engine. A guided intake builds a buyer profile, then batched API calls evaluate live listings on price, history, and market trends, returning matches with reasoning.
04Wrote a streaming chat assistant that walks buyers through car-buying topics it hasn't covered yet, with guardrails that keep it on-topic and resistant to off-domain misuse.
Every 10 minutes: In-store sale (Clover POS), then Sync job (schema mapping, dedupe), then Web catalog (thousands of items), then Online sale (Stripe checkout).
ResultA sale on either channel updates availability on the other.
Notes
01Designed and built several ecommerce platforms for a brick-and-mortar vintage clothing brand, covering storefront, catalog, search and filtering, cart, and Stripe checkout on a photo-heavy mobile-first catalog.
02Set up a real-time inventory sync between the in-store Clover POS and the web catalog, running every 10 minutes so a sale on either channel updates availability on the other.
03Maintained an active catalog of thousands of items, handling schema mapping, deduplication, and data integrity across both systems, while owning hosting, deploys, and monitoring.
A-201
Career
ScheduleRoles over time
ProvenanceFull-Stack EngineerAug 2025 — Present · 1 yr 3 mosProvenance1 yr 3 mos
