PhD in Petroleum Engineering — Texas Tech University
Research focus:
- Time series forecasting of oil & gas production using machine learning & deep learning
- Models: Multi-Modal Models, LSTM, GRU, Bi-directional LSTM/GRU, XGBoost, SVR, DNN, MLP
Computer Vision research:
- Object detection & tracking, semantic & instance segmentation
- Models: Faster R-CNN, Mask R-CNN, Vision Transformers, PointRend
General interest:
- Artificial Intelligence and Mathematical Modeling applied to real-world problems across different domains
- Generative AI and Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- Building AI agents and chatbot systems
- Practical NLP for working with text data
- Generative AI / LLM applications (RAG systems, AI assistants, knowledge tools)
- Computer vision (detection, segmentation, tracking, visual understanding)
- Applied ML systems involving physics-informed neural networks (PINNs), optimization methods, and inverse problems
- I speak 4 languages: Turkish, English, Russian, and Turkmen.
- I enjoy tackling challenging problems — whether in AI/modeling or in video games (Dark Souls, Sekiro, Elden Ring, etc.).