You will get A custom Python AI Agent or RAG system connected to your database
Project details
Looking to power your business with AI? I build secure, production-ready Python AI Agents and RAG systems tailored to your needs. As a Backend Engineer specialized in Python, I deliver high-performance software that works flawlessly from day one.
What I can build for you:
• Simple AI Automation: Custom Python scripts connecting to LLM APIs (Gemini/OpenAI) to automate repetitive tasks.
• Advanced AI Agents & RAG: FastAPI web systems with semantic search. Your system will read, understand, and query your private corporate documents (PDF, TXT, CSV).
• Complex Multi-Agent Systems: Production-grade systems powered by LangGraph, using PostgreSQL with pgvector for vector storage, and Celery/Redis for async processing.
Why choose this service?
• Clean, maintainable code following strict PEP 8 standards.
• Built with high performance, security, and scalability in mind.
• Comprehensive unit testing included via pytest to ensure stability.
Let's transform your data into smart automation. Select the package that fits your scope and let's get started!
What I can build for you:
• Simple AI Automation: Custom Python scripts connecting to LLM APIs (Gemini/OpenAI) to automate repetitive tasks.
• Advanced AI Agents & RAG: FastAPI web systems with semantic search. Your system will read, understand, and query your private corporate documents (PDF, TXT, CSV).
• Complex Multi-Agent Systems: Production-grade systems powered by LangGraph, using PostgreSQL with pgvector for vector storage, and Celery/Redis for async processing.
Why choose this service?
• Clean, maintainable code following strict PEP 8 standards.
• Built with high performance, security, and scalability in mind.
• Comprehensive unit testing included via pytest to ensure stability.
Let's transform your data into smart automation. Select the package that fits your scope and let's get started!
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Generated Code, Conversational AI, Natural Language UnderstandingAI Development Language
PythonAI Tools
GitHub Copilot, Hugging Face, StreamlitAI Models
ChatGPT, GPT-4, LLaMAWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$650
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 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 |
About Rodrigo
Backend Python Engineer & AI Integrations Specialist
Oruro, Bolivia - 10:36 pm local time
While I thrive in independent execution, my technical depth is proven by architectural designs that handle high-concurrency and advanced automation.
My Core Architectural Expertise:
* Advanced Backend & Microservices: Expert in Python (Django 5, FastAPI, Flask) implementing distributed patterns (Outbox Pattern with RabbitMQ), JWT authentication (RS256), and solving race conditions using database locks (select_for_update).
* AI & Agentic Workflows: Designing robust Multi-Tenant SaaS systems integrated with LLMs (Gemini), RAG architectures using pgvector, and complex multi-agent execution with LangGraph.
* High-Performance Scaling: Building real-time metrics ingestion engines using asyncio and WebSockets, managed with strict flow control middleware (ASGI) and asynchronous processing queues (Celery/Redis).
* Reliable Engineering: Deep commitment to clean code standards (PEP 8), comprehensive unit/integration testing (pytest), and containerized environments (Docker, Linux).
Let's build stable, secure, and scalable solutions for your business. Available for targeted consulting or long-term system modernization.
Steps for completing your project
After purchasing the project, send requirements so Rodrigo can start the project.
Delivery time starts when Rodrigo receives requirements from you.
Rodrigo works on your project following the steps below.
Revisions may occur after the delivery date.
System Architecture & Setup
Reviewing requirements, setting up the repository, and designing the initial AI agent architecture,
Development, Integration & Testing
Coding the main Python backend, integrating LLMs/vector DB, and performing pytest validation before delivery.