Projects using PostgreSQL in CharlotteProjects using PostgreSQL in CharlotteBuilt a full stack enterprise SaaS platform for FDIC-regulated financial institutions. Includes a real-time endpoint security dashboard monitoring 1,300+ endpoints, automated EOL/EOS detection, remediation queue with script execution, and ServiceNow integration. Also built SecureAudit, a multi-framework compliance module with real-time scoring across NY DFS Part 500, FFIEC, PCI DSS, and NIST. Built solo from concept to production using React, Node.js, and PostgreSQL. MessyAPI is a production-ready developer infrastructure platform I built to eliminate repetitive data utility work. It gives developers one API to clean, validate, match, transform, protect, and analyze messy data instead of rebuilding those capabilities for every application.
I designed the platform around real production requirements, including API-key authentication, tenant isolation, usage metering, rate limiting, idempotency, asynchronous jobs, retries, webhooks, observability, and secure data handling.
MessyAPI also includes JavaScript and Python SDKs, OpenAPI, MCP support, CLI tooling, RapidAPI integration, interactive testing, and composable workflows for chaining multiple data operations together.
The goal was simple: turn common data infrastructure developers repeatedly build themselves into one reliable API. I designed and built MessyProof to solve a growing problem with AI-built software: generating an application is getting easier, but understanding what was actually built — and whether it’s production-ready — is still difficult. MessyProof acts as an independent verification layer, analyzing an application’s architecture, dependencies, integrations, changes, security signals, and production readiness. It turns that analysis into a plain-English App Passport backed by evidence rather than assumptions. I led the product strategy, UX, verification model, application architecture, integrations, and go-to-market positioning from concept through implementation. 
