I'm a Ph.D. Candidate in Machine Learning, passionate about AI. My research so far focused on applying machine learning techniques to classical spin systems.
⚡ I'm always up for: AI, barbecue, and the Mediterranean.
- petitgrad a matrix-based automatic differentiation engine inspired by micrograd.
- imhance a low resolution to high resolution image enhancer, using transformer architecture implemented from scratch.
- berts a custom BERT for token and document classification in one forward pass
- Custom Variational Autoencoders for Physical Systems: Implemented and trained Convolutional VAEs on HPC clusters using GPUs to study physical systems.
- Monte Carlo Data Generation Pipeline: Designed and implemented a simulation pipeline for data generation in condensed matter research, based on numpy.
- imgs2pdf a website on free tier render, that converts images to pdf
- Cryptocurrency technical analysis tool: Developed technical analysis tool buy and sell signals based on real-time and backtesting data.
- Email: [email protected]
- My LinkedIn
- Civitcioglu, B. et al. (2024). Phase determination with and without deep learning. arXiv:2403.09786
- Civitcioglu, B. et al. (2022). Machine Learning the Square-Lattice Ising Model. J. Phys.: Conf. Ser. 2207 012058
Feel free to explore my repositories and don't hesitate to reach out for collaborations or discussions on ML or physics!
Some information about me also can be found on here.