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KadirGokdeniz/README.md

👋 Hello, I'm Kadir Gökdeniz

ML Engineer & Researcher building production AI systems for critical applications

🎯 Recent Work

  • Published Research: Journal of AI and Human Sciences (Dec 2024)
  • Aviation Safety AI: 0.904 AUC turbulence prediction model addressing $100-200M industry challenge
  • Production RAG System: Airline policy assistant with microservices architecture
  • Academic Achievement: 3.80/4.00 GPA Computer Engineering

🛠️ Tech Stack

Machine Learning: Python, XGBoost, PyTorch, Statistical Modeling
Backend Development: FastAPI, PostgreSQL, Docker, RESTful APIs
Research: Feature Engineering, Cross-Validation, Multi-source Data Integration

🚀 Featured Projects

✈️ AeroCAT-ML

Aviation safety ML model achieving 0.904 AUC for turbulence prediction

🤖 AI-Airline-Assistant

Production RAG system with microservices architecture

🌿 Indoor-AirQ-Predictions

Published environmental AI research with deep learning

📊 GitHub Activity

GitHub Stats

📍 Ankara, Turkey • 💼 Open to opportunities • 📧 kadirqokdeniz@hotmail.com

LinkedIn

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  1. AeroCAT-ML AeroCAT-ML Public

    Machine Learning-Driven Clear Air Turbulence Prediction for Aviation Safety

    1 1

  2. global_gate global_gate Public

    A smart travel assistant powered by Retrieval-Augmented Generation (RAG) that provides real-time, airline-specific travel information to simplify trip planning.

    Python

  3. Indoor-AirQ-Predictions Indoor-AirQ-Predictions Public

    Indoor Air Quality Predictions and Monitoring

    Jupyter Notebook 1