
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
An end-to-end enterprise platform that predicts customer churn, validates retention campaigns through A/B testing, and uses Agentic AI/RAG to generate personalized re-engagement offers.
A deterministic validation layer that catches numeric hallucinations in LLM output by checking extracted numbers, percentages, currencies and ratios against ground truth. No LLM in the loop — every verdict is rule-based and reproducible.
A self-hosted, multi-agent knowledge operating system built on Open Notebook, adding agent orchestration, verified research, and study-material generation on top of a privacy-focused research assistant.
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
Featured
If you've made it this far, let's talk.