
Featured
Python
LangGraph
CrewAI
RAG
SQL
• Worked on Agentic AI development, building both multi-agent and single-agent LLM chat systems.
• Gained hands-on familiarity with the LangGraph and CrewAI frameworks.
• Built knowledge of vector databases and implemented a RAG pipeline.
• Contributed to a portfolio intelligence assistant covering financial data analysis and user interaction.
Featured
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.
About me

MIS undergraduate at Istanbul Medipol University. Aspiring AI Engineer with focus on Artificial Intelligence, Machine Learning, and Multi-Agent Systems. Eager to gain experience in intelligent automation.
Skills
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If you've made it this far, let's talk.