What I built, how I approached it, and what happened.

Problem: Connect a premium salon’s digital experience to a consistent path from ad to appointment.

My contribution: Built the Next.js website and booking experience, ran Meta acquisition, and maintained the customer journey.

Outcome: 100+ booked appointments in the first three months; 3.10x blended Meta-attributed ROAS in later reporting.

Problem: Move leads toward booking while keeping business facts and send permissions outside the model.

My contribution: Designed and implemented tenancy, structured context, bounded language drafting, approval, messaging, and booking layers.

Outcome: Core workflow and send controls implemented and verified; the deeper learning layer remains scaffolded.

Problem: Connect service-focused acquisition to usable lead intake, follow-up, and measurement.

My contribution: Built the Next.js website, lead-intake backend, Supabase/Postgres CRM, attribution, and communications integrations.

Implementation proof: 280 unit tests passed in the latest documented build, alongside TypeScript and production-build checks.

Problem: Run the customer, staffing, supply, and financial sides of a restaurant together.

My contribution: Owned and operated the business across two periods, managing P&L, a team, vendors, inventory, and local marketing.

Outcome: $450K+ in first-year gross sales; a 10+ person team.

Problem: Improve acquisition, merchandising, and conversion across Amazon and Shopify.

My contribution: Managed PPC, listing SEO, catalog prioritization, Shopify website operations, and CRO.

Outcome: ~70% YoY Amazon revenue growth from roughly a $700K baseline; Shopify sitewide conversion ~0.9% → 1.4%.

Problem: Make brand-aware content production repeatable, inspectable, and able to stop when inputs fail.

My contribution: Built structured briefs, validation, asset resolution, resumable orchestration, rendering, and review workflows.

Outcome: Working production components; the complete integrated self-improving loop remains in progress.

Problem: Connect marketplace opportunities to verified device facts, disciplined pricing, and permitted next actions.

My contribution: Designed and built discovery, evidence checks, pricing, bounded negotiation, operating records, and the Vassa assistant workspace.

Implementation proof: Documented live validation of evidence-backed offers and negotiation up to an owner handoff; a built and tested Vassa web workspace.

Problem: Turn ad-hoc catalog requests into structured, trackable organization-level interest.

My contribution: Built a Vercel landing page and forms connected to Google Apps Script and Google Sheets.

Outcome: CPL improved from ~$7 → ~$1; catalog requests increased ~1,000%.

Problem: Connect a local product business to online acquisition and reliable product operations.

My contribution: Owned Shopify, paid social, wholesale, fulfillment, and supplier/logistics decisions.

Outcome: Hands-on operating experience across the storefront, customer acquisition, and physical product delivery.