You will get -> Fix bugs in your AI-generated app (Claude, Lovable, Replit, OpenAI)
Project details
Many founders build their first version using AI coding tools like Lovable, Cursor, Replit, Supabase starters, or GPT-generated code — but run into issues with authentication, payments, database logic, realtime features, or deployment.
I help stabilize and productionize these apps using modern backend architecture.
I’ve built platforms including a fleet management SaaS with an instant quote engine, an AI-powered restaurant training system, and cross-platform mobile apps with LLM integrations.
I can help fix:
• broken authentication flows
• database schema issues
• API errors and backend bugs
• Stripe payment failures
• realtime update issues
• OpenAI integration problems
• deployment errors (Vercel, Railway, Firebase)
I help stabilize and productionize these apps using modern backend architecture.
I’ve built platforms including a fleet management SaaS with an instant quote engine, an AI-powered restaurant training system, and cross-platform mobile apps with LLM integrations.
I can help fix:
• broken authentication flows
• database schema issues
• API errors and backend bugs
• Stripe payment failures
• realtime update issues
• OpenAI integration problems
• deployment errors (Vercel, Railway, Firebase)
Programming Languages
HTML & CSS, Python, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included
| Service Tiers |
Starter
$150
|
Standard
$400
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - | - | - |
About Chandra
Full-Stack Engineer | AI Startup Apps | Realtime Systems | SaaS
Sunnyvale, United States - 11:02 pm local time
I specialize in building and stabilizing FastAPI backends, React dashboards, Stripe payment flows, realtime systems, and LLM-powered features.
I’ve built platforms including a ride dispatch system, an AI restaurant training product, and multiple SaaS dashboards with live updates and production infrastructure.
I also help prepare and structure datasets for AI applications, including building ingestion pipelines, cleaning training data, and supporting LLM-powered workflows.
Steps for completing your project
After purchasing the project, send requirements so Chandra can start the project.
Delivery time starts when Chandra receives requirements from you.
Chandra works on your project following the steps below.
Revisions may occur after the delivery date.
Review issue and environment
Review repository, stack, and deployment environment.
Debug backend or integrations
Fix API logic, database issues, payments, or OpenAI integrations.