Saifa Application - Agentic AI Workflows

Project Overview

At Saifa AI Inc., I worked on the core AI engine for the Saifa Application. The goal was to enhance the responsiveness and accuracy of the AI agents.

Key Contributions

Agentic AI Workflows

I engineered new workflows that streamlined the decision-making process of the AI agents.

• Result: Accelerated inference speed by 30%.
• Feature: Implemented a “thinking process” rendering system, allowing users to see the agent’s logic in real-time, improving trust and user experience.

RAG System Optimization

The existing Retrieval-Augmented Generation (RAG) system faced challenges with precision.

• Action: I refined the architecture, focusing on better chunking strategies and retrieval ranking.
• Result: Boosted precision@5 from 76% to 90%, representing a 14% improvement in retrieval quality.

Technologies Used

• LangGraph for agent workflows.
• QDrant for vector storage.
• Python/FastAPI for backend services.