I am a Data Scientist specializing in intelligent AI systems with a unique background bridging finance and technology.
- 🔬 Currently Working On: Custom AI agents with LangGraph/LangChain, Model Context Protocol (MCP) development, and time series analysis for network data
- 🎓 Education: Master's in Information Systems (Data Science) from Middle East Technical University | Finance Background from Bilkent University
- 🌱 Learning Focus: Advanced multi-agent systems, reinforcement learning applications, and scalable AI architectures
- 🎹 Fun Fact: I am jazz pianist and I enjoy exploring full-stack development in my free time
- LLMs & RAG Systems: GPT models, encoder architectures, advanced RAG optimization
- Frameworks: LangChain, LangGraph, PyTorch, TensorFlow, Scikit-learn
- Deep Learning: Transformer architectures, Swin Transformers, attention mechanisms
- Reinforcement Learning: PPO algorithm, adaptive discount factors, transfer learning
- Languages: Python
- MLOps: Weights & Biases (wandb), experiment tracking, model versioning
- Data Engineering: Apache Airflow, database design, ETL pipelines
- Visualization: Custom dashboards, Streamlit applications
- Platforms: Azure, Google Cloud, Digital Ocean
- Tools: Docker, automated deployment pipelines
- Integration: API development, microservices architecture
- Multi-Agent Systems: Building collaborative AI agents for complex problem-solving
- RAG Optimization: Creating efficient retrieval systems for enterprise applications
- Financial AI: Applying ML to risk management and predictive analytics
- Automation: Developing Python applications for business process optimization
- 💼 Portfolio: halildonmezbilek.com
- 📧 Email: halil.donmezbilek@gmail.com
- 💼 LinkedIn: hdonmezbilek
- 📍 Location: Ankara, Turkey
My transition from finance to AI brings a unique perspective to data science projects. I understand both the technical complexities of AI systems and the business requirements that drive successful implementations. This combination allows me to build AI solutions that are not just technically sound, but also commercially viable and strategically aligned.
