About

Prakarsh Upmanyu is a highly passionate software engineer with quality experience in data engineering, machine learning, software development, web development, and system administration. He recently graduated from the University of Southern California with a Masters in Computer Science and is currently actively looking for interesting full-time opportunities. Prakarsh is currently working as a Senior Data Engineer at Amobee where he is responsible for designing and implementing data pipelines, developing machine learning models, and building scalable data systems. Prakarsh's interest areas include machine learning, NLP, and AI, and their applications in multiple domains across various industries. He has worked on various projects related to search and user behavior data processing, classification of user search keywords into self-defined categories, and building scalable data systems. Prakarsh has also worked as a Big Data Intern at Roblox where he built a pipeline consisting of multiple Map-Reduce jobs written in Java using Hadoop, S3, Redshift, EMR to process search and user behavior data. Prakarsh holds a Master of Science (M.S.) degree in Computer Science from the University of Southern California and a Bachelor of Technology (BTech) degree in Software Engineering from Delhi College of Engineering. He has also completed his Senior Secondary (CBSE Class 12) and High School (CBSE Class 10) from Apeejay School, Pitampura. Prakarsh's tech stack includes data engineering, machine learning, web development, software engineering, AI, NLP, search, big data, random forest, Java, and Hadoop. He has relevant experience of 6.61 years in the industry. With his expertise in data engineering and machine learning, Prakarsh is a valuable asset to any organization looking to build scalable data systems and develop machine learning models.