Ahmed Farid Al Basir
Computer Science at University of Sheffield
MSc Artificial Intelligence graduate from the University of Sheffield with a background in Computer Science and experience in machine learning, data analysis, and software engineering. I enjoy building data-driven systems, exploring new technologies, and solving real-world problems with AI and software. Currently looking to collaborate on innovative projects and early-career opportunities in AI, data, or software development.
Work by Ahmed Farid Al Basir
- MetalFish
A high-performance UCI chess engine optimized for Apple Silicon, featuring Metal GPU-accelerated NNUE evaluation and multiple search algorithms.
- Generating synthetic cryptocurrency return series using Tail-GAN and Conditional GAN
MSc Dissertation project on generating synthetic cryptocurrency return series using Tail-GAN and Conditional GAN, with a focus on Value-at-Risk (VaR), Expected Shortfall (ES), skewness, and kurtosis alignment.