Welcome to my GitHub profile! I'm an Artificial Intelligence Master's student at TU Delft with a strong foundation in machine learning, data analysis, and software development. My journey has taken me through diverse projects, from building robust machine learning pipelines to developing mobile applications and optimizing wind farm dynamics using cutting-edge AI techniques.

• Programming Languages: Python, TypeScript, SQL
• Technologies: React Native, Docker, Linux, CI/CD, DevOps/MLOps
• Machine Learning: Deep Learning, Reinforcement Learning, Graph Neural Networks, Physics-Informed Neural Networks, Bayesian Statistics, Causal Inference
• Soft Skills: Analytical Thinking, Problem-Solving, Team Communication

• Smart Wind Farm Optimization: Developed a wind flow prediction model using Physics-Informed Neural Networks (PINNs) and implemented reinforcement learning for dynamic yaw angle optimization in turbines.
• Release Engineering for ML Applications: Built a multi-service ML pipeline with automated deployments using Docker, Kubernetes, and CI/CD practices.
• Social Media App Development: Leading the development of a React Native app with a Supabase backend, managing both frontend and backend components, and collaborating with a diverse team.

I'm exploring advanced topics in spiking neural networks, focusing on their sensitivity to sample difficulty.

Feel free to explore my projects or get in touch if you'd like to collaborate or chat about technology and innovation.

• GitHub: github.com/erenaydoslu
• Email: [email protected]

Thank you for visiting, and I look forward to connecting with you!