My projects across different technologies and domains.
A single-agent LLM chat assistant for portfolio Q&A. Built with LangGraph, RAG and ChromaDB; fetches live stock data via an MCP stock-market API.
A data analytics project that segments customers using demographics, web/app usage and purchase history. Reached 97.38% accuracy with an optimized XGBoost model.
Multi-agent version of the portfolio assistant with advanced UI/UX, charts and financial metrics. Coordinates Controller, Planning, Reflection, Critic, Decision and other agents to turn market data, news and RAG into a single investment strategy.