AI Project Case Studies

The Problem

A FinTech startup had a "vibe-coded" Node.js application for analyzing financial documents. It was slow, produced inaccurate results under load, was plagued with security flaws, and was impossible for their team to update without breaking new ground.

The Solution

I was brought in to perform a full AI code audit. My process involved identifying critical performance bottlenecks, patching security vulnerabilities, and refactoring the core logic for maintainability. I implemented a robust automated testing suite and containerized the application with Docker for predictable deployments.

The Results

The Problem: A Brittle Platform on the Brink of Failure

The client's booking platform was suffering from severe stability issues, including revenue-leaking payment bugs and critical security vulnerabilities. Built for speed, the application had accumulated massive technical debt, making it unreliable for users and nearly impossible for administrators to manage effectively.

The Solution: A Phased Approach to Rescue & Rebuilding

I implemented a strategic code rescue operation focused on methodical de-risking and enhancement. This involved an emergency security audit to patch critical vulnerabilities, a deep architectural refactoring of the monolithic backend into scalable modules, and the development of high-value features to improve administrative efficiency.

The Results: From Fragile Prototype to Robust SaaS Platform

• •Fortified Security Posture: Eliminated critical vulnerabilities related to hardcoded credentials and unsafe user inputs, protecting the business and its users.
• •Eliminated Revenue Leakage: The stabilized payment and booking system now reliably captures all revenue without duplicate charges or booking failures.
• •Drastically Improved Admin Efficiency: New features like bulk invoice exporting and a streamlined manual booking process saved countless hours of administrative work.
• •Established a Scalable Foundation: The refactored codebase now allows for faster, safer implementation of new features, positioning the platform for future growth.

The Problem: A Platform Plagued by Critical Bugs

The prvmalfitness.com social platform was struggling with stalled development and critical bugs that crippled its core functionality. Failing commercials due to unreliable Square payments, broken user engagement with non-functional social feeds and profile images, critical infrastructure issues with serverless backend functions, and incomplete user profiles preventing trainers from adding essential information.

The Solution: Strategic Triage and Rebuild

I executed a multi-faceted plan focused on stabilizing the platform's foundation. This included a strategic payment gateway migration to Stripe for reliable transaction processing, diagnosing and resolving underlying Netlify Functions API issues, restoring community and social features by fixing data flow bugs, and implementing advanced geo-location functionality with Mapbox integration for trainer discovery.

The Results: From Stalled Project to Viable Platform

• •Achieved Commercial Viability: Successful Stripe migration established a reliable revenue stream, enabling the business to process payments effectively.
• •Restored Platform Stability: Resolved serverless function and API errors, eliminating major sources of instability and enabling future development.
• •Enhanced Core User Engagement: Fixed social feeds and profile functionality, restoring the platform's core value proposition and improving user experience.
• •Delivered Growth-Ready Platform: With stable foundation and functional features, the client is now positioned to complete advanced features like direct messaging and location-based user suggestions.