I am a Computer Engineering student passionate about Machine Learning, Natural Language Processing, Large Language Models and Optimization Algorithms.
I enjoy creating projects that solve real-world problems.
I am currently focused on large language models (LLMs) for automated unit test generation and exploring the use of meta-heuristic optimization algorithms in areas such as prompt optimization and RAG (Retrieval-Augmented Generation) optimization.
In general, I investigate how LLMs can generate task-specific optimization algorithms to solve AI a problems efficiently.
| Languages | Frameworks & Libraries | Tools & Platforms |
|---|---|---|
| Python | PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, LangSmith, Chainlit, FastAPI, playwright, selenium | Git, GitHub, Docker, VS Code, Linux, Jupyter Notebook |
| — | — | Pinecone, Weaviate, Milvus, Qdrant , Chroma |
- Hyperparameter Optimization for CNNs – Implementing AI-based optimization algorithms for neural networks.
- CodeT5 Fine-Tuning for Unit Test Cases – Fine-tuning a large language model (CodeT5) for automated unit test generation.
- LinkedIn: linkedin.com/in/kadiryonak
- Email: [email protected]
I enjoy reading books on philosophy and psychology, music production, and camping in my free time.