Muhammad Umer Javaid is a Software Engineer at Lyft since August 2022, focusing on enhancing ride resilience by mitigating ride cancellations and improving customer retention through innovative business logic for ride upgrades. Previously, Muhammad served as a Machine Learning Engineer at SixSense Pte. Ltd. where a novel algorithm was designed to improve defect detection accuracy by 46%. Experience includes roles at Source Elements as a Software Developer, where data migration automation was implemented, and at SixSense, where deep learning was utilized for industrial defect detection. Muhammad also worked as an Associate Machine Learning Engineer at VisionX, developing a computer vision pipeline that contributed to a successful $3M seed funding for the startup VEEVE. Muhammad holds a Master's degree in Computer Science from RPTU Kaiserslautern-Landau and a Bachelor's degree in Software Engineering from the National University of Sciences and Technology (NUST).
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