AI Personal Assistant — Multi-Agent Autonomous System

Built a fully autonomous multi-agent AI system capable of end-to-end task execution without human intervention.

▸ Designed a scalable multi-agent architecture using FastAPI, CrewAI, and OpenAI GPT-4, enabling agents to plan, reason, and collaborate autonomously
▸ Integrated long-term memory via ChromaDB, allowing the assistant to retain and recall context across sessions
▸ Built modular tool integrations: web search, PDF/document parsing, data analysis, email automation, and file generation
▸ Implemented microservice-based design for low-latency inference, fault tolerance, and independent agent scaling
▸ Supports fully context-aware responses for complex, multi-step real-world tasks.