Usman Qureshi is a skilled data scientist with extensive experience in artificial intelligence and machine learning. Currently serving as the Lead Data Scientist at TenX since February 2021, Usman has contributed to Acnera by developing and deploying custom attention-based semantic segmentation models for pathogen detection in poultry. Prior to this role, Usman advanced AI-based automotive solutions as an Associate Data Scientist at Driver Technologies Inc, creating an int8 quantized object detection model for iOS and leading initiatives for driver safety technologies. Usman's expertise in cybersecurity was demonstrated as a Cyber Security Data Scientist at Techaccess Pakistan, where a pioneering UEBA model for a SIEM solution was developed. Additionally, Usman contributed to the Industrial Automated 4.0 initiative at Engro Digital. Usman holds a Bachelor's degree in Computer Science from the COMSATS Institute of Information and Technology, earned in 2018.
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