
Ayman Talkani
Co-founder at Croviz, driving AI innovation in radiology data insights
New York, New York, United States
Joined January 2025
Network
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Summary
Ayman is a serial entrepreneur with a strong focus on AI, particularly in specialized domains like radiology. He co-founded InstaLabel, which evolved into Croviz, aiming to accelerate the transition of AI into critical, expert-level tasks by providing solutions for specialized AI training data annotation. His venture, Croviz, was part of the Techstars '24 accelerator program and won the Columbia Venture Competition 2024. youtube+2
He possesses a robust academic background in Electrical Engineering with a Master's from Columbia University and a Bachelor's from the National Institute of Technology Warangal. His academic journey includes research roles and projects in embedded systems and deep learning, specifically in generative adversarial networks (GANs) for zero-shot learning and text-to-video generation. youtube+3
Ayman has gained diverse experience across various sectors, including software engineering at Quadwave Consulting, deep learning research at the National University of Singapore, machine learning engineering at Siemens Healthineers, and R&D software engineering at the New York Power Authority. This broad professional exposure underpins his entrepreneurial pursuits in AI.
Work
Education
Projects
Writing
Approaching Zero-shot Learning from a Text-to-Image GAN perspective
January 1, 2022Research focusing on utilizing generative adversarial networks for zero-shot learning tasks, generating images from object descriptions. Co-authored with Anand Bhojan.
Long-Text-to-Video-GAN
January 1, 2022A research paper exploring the generation of videos from long text descriptions. Co-authored with Anand Bhojan.
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