You will get Gemini ,OpenAI, or Claude API integration into your Python backend

Project details
You need AI integrated into your product — not a demo, not a proof of concept, but working code that runs in production. I specialize in connecting Gemini and OpenAI APIs to real backends: handling prompt engineering, async processing, error handling, and retry logic so the system actually holds up under real usage.
I built EditoriumAI — a production SaaS that processes hundreds of document pages daily through Gemini Vision API, running on a Python worker system with RabbitMQ and PostgreSQL. Every integration I deliver is built the same way: clean architecture, documented code, and tested before handover.
If you need an LLM wired into your Python backend, a document processing pipeline, or an AI feature added to your existing app — I can scope it, build it, and hand it over within days.
I built EditoriumAI — a production SaaS that processes hundreds of document pages daily through Gemini Vision API, running on a Python worker system with RabbitMQ and PostgreSQL. Every integration I deliver is built the same way: clean architecture, documented code, and tested before handover.
If you need an LLM wired into your Python backend, a document processing pipeline, or an AI feature added to your existing app — I can scope it, build it, and hand it over within days.
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AI Chatbot, Conversational AI, Image Analysis, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Gradio, Hugging FaceAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$350
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | |
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | |
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | - | - | |
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | |
Natural Language Processing | - | ||
NLP Tokenization | - | - | |
Pre-Training | - | - | |
Prompt Engineering | |||
Setup File | - | - | |
Source Code |
Frequently asked questions
About Ahmet
AI API Developer | Gemini - Python - Document Processing
Sakarya, Turkey - 10:09 pm local time
I specialize in integrating AI APIs (Gemini, OpenAI) into real products — not demos, not prototypes. I've built EditoriumAI, a production SaaS that processes hundreds of document pages using Google Gemini Vision, running on a full Docker + RabbitMQ + PostgreSQL backend.
If you need:
— An AI API wired into your existing app
— A document/PDF processing pipeline
— A Python backend or automation script
— A .NET Core API with AI features
I can scope it, build it, and hand it over — usually within days, not weeks.
Stack: Python · ASP.NET Core · Gemini/Vertex AI · PostgreSQL · RabbitMQ · Docker · Cloudflare R2
Let's get your project moving.
Steps for completing your project
After purchasing the project, send requirements so Ahmet can start the project.
Delivery time starts when Ahmet receives requirements from you.
Ahmet works on your project following the steps below.
Revisions may occur after the delivery date.
Review your requirements and confirm scope within 24 hours
Set up API integration and core prompt architecture
