I will fix your ai app for production

F
fullstack_nayem
F
fullstack_nayem
Nayem

About this gig

You built your AI app. Maybe on Lovable, Bolt, Cursor, or with a developer. It works in testing. It looks finished.

It probably has 3 critical problems you do not know about yet.

API keys exposed in the frontend. Supabase RLS off - every user can read every other user's data. No rate limiting - one bad actor runs up a $500 bill overnight. Silent failures that corrupt data with no error shown.

These are not bugs. They are structural gaps. They will not show up until something goes wrong.

I find them before they do.

What I fix:

  • Security holes - exposed keys, open auth guards, RLS gaps
  • Cost risks - rate limiting, token waste, API spend exposure
  • Scale failures - unindexed tables, naive RAG, silent crashes
  • Error handling - graceful failures instead of blank screens

I built Clearhead on Lovable using Supabase and Claude API. I have shipped two production RAG systems used by real teams daily.

Start with the Basic audit to see exactly what is wrong before committing to fixes.

To start I need:

  • Codebase access (GitHub or zip)
  • Supabase project URL and anon key
  • Brief description of your app

Message me before ordering if unsure..

Get to know Nayem

Nayem

AI Application Developer

  • FromBangladesh
  • Member sinceMay 2026
  • Avg. response time1 hour
  • Languages

    Bengali, English
I build production AI systems - not demos. Two shipped platforms: a multi-tenant knowledge assistant with RAG and vector search, and an agentic AI assistant in Slack with tool-use routing. My stack: Python, FastAPI, Anthropic Claude, OpenAI, RAG pipelines, pgvector, MongoDB, Supabase, React, Lovable, Stripe, Docker. I also built a financial document parser extracting structured data from PDFs using PyPDF, pdfplumber, and Claude Vision with full source traceability. Real users. Real data. Production code.

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