You will get a custom AI agent or RAG pipeline using FastAPI
Project details
Bring Production-Grade AI to Your Business
Looking to automate workflows, query complex documents, or build autonomous agents? I build robust, fast, and scalable Generative AI solutions using Python and FastAPI, tailored to your exact business needs.
What I Offer:
• Starter (Basic AI Endpoint): Single FastAPI endpoint integrated with OpenAI, Gemini, Claude, or Groq to output structured data or generate high-quality text.
• Standard (Full RAG / AI Agent): A complete Retrieval-Augmented Generation pipeline (querying PDFs/docs) or an autonomous AI agent equipped with memory and real-time tool calling.
• Advanced (Complete AI System): A production-ready AI application with database integration, persistent storage configurations, and complete live deployment on Render.
Tech Stack I Use:
• Backend: Python, FastAPI, Uvicorn
• LLMs & Frameworks: OpenAI, Claude, Gemini, Groq, LangChain / LlamaIndex
• Vector DBs & Infra: ChromaDB, PostgreSQL, Render, Docker
I focus on delivering clean, well-documented code that works seamlessly in production. Let's build your AI solution!
Looking to automate workflows, query complex documents, or build autonomous agents? I build robust, fast, and scalable Generative AI solutions using Python and FastAPI, tailored to your exact business needs.
What I Offer:
• Starter (Basic AI Endpoint): Single FastAPI endpoint integrated with OpenAI, Gemini, Claude, or Groq to output structured data or generate high-quality text.
• Standard (Full RAG / AI Agent): A complete Retrieval-Augmented Generation pipeline (querying PDFs/docs) or an autonomous AI agent equipped with memory and real-time tool calling.
• Advanced (Complete AI System): A production-ready AI application with database integration, persistent storage configurations, and complete live deployment on Render.
Tech Stack I Use:
• Backend: Python, FastAPI, Uvicorn
• LLMs & Frameworks: OpenAI, Claude, Gemini, Groq, LangChain / LlamaIndex
• Vector DBs & Infra: ChromaDB, PostgreSQL, Render, Docker
I focus on delivering clean, well-documented code that works seamlessly in production. Let's build your AI solution!
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI-Enhanced Medical Imaging, Conversational AI, Natural Language Understanding, Sentiment AnalysisAI Development Language
PythonAI Tools
Hugging Face, StreamlitAI Models
ChatGPT, GPT-4, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$150
|
Standard
$350
|
Advanced
$600
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 2 | 3 | 4 |
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 Leonardo
Mobile/Web Engineer & AI/Asynchronous API Specialist
Alvorada, Brazil - 8:13 pm local time
With over 2 years of real-world development experience, I combine a deep understanding of mobile ecosystems (React Native, Flutter, TypeScript) with high-efficiency backend architectures (Python, FastAPI, Node.js, SQLite/PostgreSQL).
My core focus lies in technical execution and performance optimization:
- AI Agents & Automation: Building smart workflows, ReAct agents with session memory, and custom LLM integrations that dynamically connect with CRMs and external RESTful APIs.
- High-Performance Backends: Developing asynchronous middlewares capable of handling heavy data ingestion and real-time operations smoothly without bottlenecks.
- Mobile & Web Frontends: Translating designs and wireframes into pixel-perfect, lightning-fast interfaces with a strict focus on mobile-first optimization and core performance vitals.
By leveraging cutting-edge AI tools directly within my engineering workflow, I am able to automate standard code structures and focus 100% of my time on architecture, security, and edge-case testing—delivering production-ready solutions in a fraction of the traditional market time.
I maintain a transparent, highly organized development process using strict Git/GitHub practices and modular code architecture. If you are looking for a reliable technical partner focused on speed, efficiency, and real business results, let's connect and build your next MVP.
Steps for completing your project
After purchasing the project, send requirements so Leonardo can start the project.
Delivery time starts when Leonardo receives requirements from you.
Leonardo works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture & API Planning
Reviewing your requirements, setting up the repository environment, and defining the API endpoints and JSON response structures.
Core AI & Pipeline Integration
Developing the core logic (RAG, agent chains, or LLM connections) and wrapping it smoothly inside high-performance FastAPI routers.