AI Backend and API Development with Python, FastAPI, RAG and LLM Agents
Backend systems that think, respond and connect to real business workflows.
What This Is
Not just APIs that pass data around. These are backend systems with intelligence built into every endpoint. They understand questions, pull answers from real business data, manage conversations across channels and capture leads automatically while doing it.
RAG Chatbots on Business Data
Clients upload their knowledge base, product docs, FAQs or internal guides. The system chunks the content, generates vector embeddings and stores them in Supabase pgvector. When a customer asks a question, the AI searches the knowledge base semantically and responds with accurate, context-aware answers instead of generic LLM guesses.
WhatsApp AI Support Agent
Built a full AI support agent connected to WhatsApp Business Cloud API through FastAPI. The agent handles inbound customer messages, searches the knowledge base for answers and replies in real time. Every conversation is logged with full message history. New contacts are captured as leads automatically with source tracking and status management.
LLM Agent Pipelines
Multi-step AI agent workflows that go beyond simple prompt and response. Agents that can classify intent, route to the right knowledge source, extract structured data from unstructured messages and trigger follow-up actions. Built with LangChain and custom orchestration logic depending on complexity.
API Infrastructure
Production-grade FastAPI services with proper endpoint design, authentication, rate limiting and error handling. API key management for client access. Request logging and usage analytics tracked over 30 day windows so clients can monitor volume, response quality and system health from a single dashboard.
Prompt Engineering and Optimization
Every AI feature is backed by carefully designed prompts. System prompts are tuned for accuracy, tone and edge case handling. Multi-LLM fallback logic ensures responses stay reliable even when one provider has latency or downtime. OpenAI and Claude APIs are used depending on the task requirements.
Interested in working together?
I'm available for new projects. Let's talk about what you're building.
