I help founders and engineering teams ship production-ready AI features and refactor AI-built apps that are breaking in production.

Whether you need to add custom AI workflows to an existing product or fix a fragile app generated with AI tools like Cursor, Lovable, v0, or Bolt, I deliver clean, secure, and maintainable TypeScript architecture.

Integrate production-grade LLM capabilities directly into your Next.js application with proper UI/UX, streaming responses, and reliable error handling.

RAG & Knowledge Bases: Vector search and semantic retrieval over your private data using Supabase / PGVector.

Conversational AI & Copilots: Custom chat interfaces, streaming responses, and agentic workflows.

Document Processing & Workflows: Automated extraction, summarization, document QA, and custom content pipelines.

Model Integrations: Native integration using Anthropic Claude, Google Gemini, or OpenAI APIs.

If your prototype was built using AI code generators (Cursor, Lovable, v0, Bolt) and is now crashing, slow, or insecure, I perform an architecture audit and stabilize it for actual users.

Auth & Security: Fix broken authentication, Row Level Security (RLS) policies, and exposed API keys.

Database & Schema Repair: Restructure Supabase/PostgreSQL schemas, fix queries, and resolve data persistence bugs.

Code Clean-up & Refactoring: Convert messy, generated code into modular, maintainable React/TypeScript architecture.

Deployment Readiness: Set up clean environment variables, API route security, rate limiting, and Vercel/Netlify deployment setups.

Initial Assessment: You share your repository access, current issue, or project scope.

Scope & Roadmap: I send a clear breakdown of fixes/deliverables, estimated timeline, and milestone costs.

Iterative Delivery: I build in small, reviewable increments so you can test features or fixes as they go live.