Ahmed Haytham

Artificial Intelligence Engineer at Hamsa

Damanhur, The Lake, Egypt
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Summary

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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."
code7 years of coding experience
job3 years of employment as a software developer
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Damanhour University
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Github Skills (1)

javascript1

Programming languages (3)

JavaScriptHTMLJupyter Notebook

Github contributions (5)

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Contributions:12 commits, 10 pushes, 1 branch in 1 day
AhPro7/AhPro7.github.io

Dec 2022 - Aug 2023

Contributions:82 pushes, 1 branch in 8 months
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Ahmed Haytham - Artificial Intelligence Engineer at Hamsa