Agentic AI and Multi-Agent Orchestration

Delivered multi-agent systems across four frameworks — CrewAI (financial researcher, stock picker, coding agent, automated SE team), LangGraph (web automator with push notifications, Sidekick co-worker), Microsoft AutoGen v0.4 (single agents with tool use and structured output, RoundRobinGroupChat teams with termination strategies and state persistence, human-in-the-loop, Swarm, GraphFlow, Docker execution), and Google Agent Development Kit (SequentialAgent, ParallelAgent, Session/State/Runner with Pydantic, persistent SQLite agent with DatabaseSessionService, callbacks with guardrails, LiteLLM routing, Tavily search). Integrated Model Context Protocol (MCP) with a custom MCP server and a Yahoo Finance MCP server with Streamlit visualization. Built database AI agents for natural-language CSV and SQL querying via LangChain agents, OpenAI function calling, and the Assistants API with SQLAlchemy, SQLite, and Streamlit.
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