You will get a FastAPI backend starter with PostgreSQL and Docker
Rising Talent
Rising Talent
Project details
You need an API that works, is documented, and does not fall over when real traffic arrives.
I build and run FastAPI backends in production, including the backend behind an e-commerce platform I operate. It serves 700+ products and runs asynchronous pipelines against external marketplace APIs daily, so I use these patterns myself.
Every tier includes REST endpoints, Pydantic validation, PostgreSQL models and indexes, clear API docs, and source code. Standard and Advanced add authentication, Docker, structured logging, and stronger error handling. Advanced adds third-party integrations, retry-aware webhooks, and background processing.
I am particularly useful when external services are involved: rate limits, exponential backoff, idempotency, and fast webhook acknowledgement so duplicate events and temporary failures do not create bad data.
I work in small, reviewable increments and provide written progress updates. Python and FastAPI only—not Node or Django.
I build and run FastAPI backends in production, including the backend behind an e-commerce platform I operate. It serves 700+ products and runs asynchronous pipelines against external marketplace APIs daily, so I use these patterns myself.
Every tier includes REST endpoints, Pydantic validation, PostgreSQL models and indexes, clear API docs, and source code. Standard and Advanced add authentication, Docker, structured logging, and stronger error handling. Advanced adds third-party integrations, retry-aware webhooks, and background processing.
I am particularly useful when external services are involved: rate limits, exponential backoff, idempotency, and fast webhook acknowledgement so duplicate events and temporary failures do not create bad data.
I work in small, reviewable increments and provide written progress updates. Python and FastAPI only—not Node or Django.
Programming Languages
PythonCoding Expertise
Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$99
|
Standard
$500
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 4 days | 10 days | 20 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages | 5 | 15 | 30 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code |
Frequently asked questions
About Peerapat
AI Solutions Developer | Automation & RAG for Business Operations
Bangkok, Thailand - 2:59 pm local time
I build production-ready AI systems, not one-off demos. This includes RAG knowledge assistants with source citations, AI workflow automation, internal tools, and integrations across messaging platforms, databases, APIs, and business systems.
My focus is reliability: clear permissions, structured and traceable outputs, human handoff where needed, error handling, automated tests, and maintainable code that your team can continue to use after launch.
I can take ownership from discovery and solution design through development, deployment, and ongoing improvement. My core stack includes Python, FastAPI, Next.js, n8n, PostgreSQL, Docker, OpenAI, and Claude.
Typical use cases:
• Internal knowledge assistants that answer from company documents with citations
• AI automation for documents, emails, OCR, forms, approvals, and data processing
• AI integrations for LINE, WhatsApp, Telegram, email, CRM, databases, and internal APIs
• Secure internal tools with user access control and human escalation
If you want to move an AI idea beyond a prototype into a practical system your team can rely on, send me your current workflow and desired outcome.
Steps for completing your project
After purchasing the project, send requirements so Peerapat can start the project.
Delivery time starts when Peerapat receives requirements from you.
Peerapat works on your project following the steps below.
Revisions may occur after the delivery date.
Scope and schema design
We agree the endpoints and data model before any code is written. I map your access patterns to a schema and index plan, so performance is designed in rather than patched later.
Build in reviewable increments
I ship working endpoints as they are finished rather than disappearing for a week. You can test each one against the auto-generated docs and redirect early if something is off.