Projects using Supabase in KannapolisProjects using Supabase in KannapolisI designed and built MessyFlow as a growth intelligence platform that turns real performance data into actionable growth decisions. It brings product research, positioning, content strategy, experiments, performance measurement, and AI-assisted insights into one operating system. Rather than just reporting metrics, MessyFlow identifies patterns across measured outcomes, surfaces what is performing, and helps turn those findings into the next experiment. The platform includes a Growth Command Center, research library, positioning tools, playbooks, content studio, experiment management, performance tracking, findings history, integrations, and an AI assistant called Messy. I led the product strategy, UX, data model, workflow design, analytics system, AI experience, and implementation from concept through production. TutorOps is a full-stack education operations platform built with React, TypeScript, Tailwind CSS, and Vite. It automates the entire tutoring business lifecycle through three role-based portals:
Parent Portal — Book/cancel lessons, view credits, manage recurring slots, and pay invoices via a self-service dashboard.
Tutor Portal — View weekly schedules, check in to sessions, write lesson notes with progress ratings, manage availability, and review student rosters.
Admin Portal — Oversee all operations: weekly schedules across 34+ tutors, waitlist management, tutor roster, reporting, system settings, and a full audit trail. I designed and built MessySite to turn outdated websites into modern, production-ready experiences without treating the process like a simple clone or template swap. The platform imports a site the user owns, analyzes its pages and structure, rebuilds the experience on a modern foundation, optimizes content and discoverability, verifies the result, and prepares it for publishing. I designed the six-stage workflow — Import, Analyze, Rebuild, Optimize, Verify, and Publish — with an emphasis on transparency, ownership, and human review before anything goes live. I led the product strategy, UX, workflow design, application architecture, and positioning from concept through implementation. I designed and built MessyCare to solve what happens after an AI-built application launches. Instead of waiting for something to break, MessyCare creates a continuous application-care layer covering onboarding, handoff documentation, ongoing support, change requests, maintenance, improvements, and secure ownership transfer. The goal is to give businesses a clear operational record of what was built and one place to keep their applications supported and improving over time. I led the product strategy, UX, workflow design, application architecture, and positioning from concept through implementation. Built MessAPI, a production-ready data processing API designed to clean, validate, normalize, deduplicate, match, transform, and analyze messy data through one API. I designed the product architecture, API experience, authentication, usage metering, reliability systems, documentation, and developer workflows across REST, JavaScript, Python, and MCP — taking the product from concept through production deployment. Built MessyBase, a founder operations hub designed to replace the spreadsheets, notes, and open tabs behind managing multiple products. I designed and built the platform to centralize projects, tasks, opportunities, partnerships, launches, metrics, and integrations in one workspace, with role-based access, secure data controls, automated provider syncing, and AI-powered weekly reviews. The project demonstrates end-to-end internal tool development—from database architecture and authentication through integrations, automation, security, and production deployment. 
