Aagam Shah is a highly skilled software engineer with substantial experience in software data engineering and machine learning. At Motorola Solutions, Aagam spearheaded a strategic transition from Hadoop to Spark, enhancing processing efficiency by 100%, and successfully integrated the ELK Stack and Grafana for over 70 microservices, improving real-time data capabilities. Aagam's tenure as a machine learning intern at Qualcomm involved developing an advanced AI model for time series segmentation, achieving 94% accuracy in predicting modem idle wakeup cycles. Additionally, Aagam contributed to the creation of a contextual chatbot during an internship at CHARUSAT University, attaining 86% accuracy in assisting students. Aagam holds a Master of Science in Computer Software Engineering from San Jose State University and a Bachelor of Technology in Computer Engineering from CHAROTAR UNIVERSITY OF SCIENCE AND TECHNOLOGY, and currently serves as a software engineer at Uber.
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