Mohamed El-geish is a seasoned AI-first technology leader and founder, currently CTO and Co-Founder of Monta AI in California, where he shapes product strategy and scalable ML systems. He previously led Alexa Speaker Recognition at Amazon, directing applied science and engineering teams to advance speaker identification, verification, and personalized speech experiences. As a co-founder and chief architect at Voicea, he helped build EVA, the enterprise voice assistant later acquired by Cisco to become Webex Assistant, illustrating a track record of turning research into deployable products. He is an active open-source contributor, notably to Gradio where he fixed microphone input processing, updated UI and documentation, and he co-authored Computing with Data, a practical data science guide. He holds a BS in Computer Science from The American University in Cairo and AI-focused graduate coursework at Stanford, combining hands-on leadership with deep ML expertise across startups, cloud-scale platforms, and enterprise AI initiatives.
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Role in this project:
Full-stack Developer
Contributions:8 commits, 1 PR in 19 days
Contributions summary:Mohamed primarily contributed to the Gradio interface, focusing on fixing bugs and updating the codebase. They addressed issues related to microphone input processing and keyboard shortcuts. Furthermore, the user modified code for `key_values` output, improving the display of structured data. Additionally, they updated docstrings across multiple files, enhancing the documentation.
Contributions:6 commits, 5 pushes, 1 branch in 1 year 8 months
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