Summary
Ahmed Haytham is an Artificial Intelligence Engineer with 8 years' experience building production-ready speech, NLP, and computer vision systems, currently developing end-to-end speech AI and real-time LLM-driven audio applications at Hamsa. He specializes in fine-tuning foundation speech models with parameter-efficient techniques like LoRA and optimizing models for low-latency inference and deployment. Previously at NADSOFT he shipped ASR and language-model projects and contributes analyses and projects on Medium, GitHub, and Kaggle, treating writing as a tool for clearer thinking. Ahmed has taught deep learning, led university AI tracks, and enjoys competitions for their challenging questions rather than prizes—an indicator of his curiosity-driven approach. He blends research reading with hands-on engineering to turn cutting-edge speech AI into scalable products and positions himself as the practical "middleware between AI and codebase."
7 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Damanhour University