Ali Hamza

As an AI researcher and developer specializing in generative multimodal systems, I combine theoretical expertise with practical implementation. Currently pursuing a Ph.D. in generative AI for data augmentation, I've published innovative research on labeled data augmentation with my paper "Ali-AUG: Innovative Approaches to Labeled Data Augmentation using One-Step Diffusion Model" [arXiv:2410.18678]. I've developed multiple production-ready AI applications and implemented complex architectures from scratch, including a streamlined Stable Diffusion model with 1/3 parameters and a custom GPT-2 implementation. My expertise spans advanced C++ and Qt development, Large Language Models (LLMs), Parameter-Efficient Fine-Tuning (PEFT), and diffusion models, enabling me to bridge the gap between cutting-edge research and practical applications.