About

Raghav Apoorv is an experienced software engineer with a demonstrated history of working in the industry. He is currently working as a Software Engineer at Uber. He is pursuing his Master of Science in Computer Science from Georgia Tech. Raghav is skilled in Java, Go, Python, PHP, React, JavaScript, Mobile Engineering, and Machine Learning. He has strong engineering expertise in developing scalable data platforms, building ML models, and creating dashboards for analyzing trends. In his previous role as a Software Engineer Intern at Uber, Raghav built an ML model to predict driver behavior to drive for Uber vs Competition, which is expected to improve driver supply. He also designed and developed a scalable data platform to perform complex queries on driver data using Spark and Hive. Additionally, Raghav created dashboards for the leadership team to analyze trends on the tendency of an Uber driver to drive for the competition. Raghav has also worked as a Graduate Research Assistant at Georgia Tech, where he built tools to support the Online Masters of Science Program. He was part of the Jack Watson Research group and supervised by Professor Thad Starner. He also developed systems to detect plagiarism in take-home exams. Raghav has a Bachelor of Technology in Mathematics and Computer Science from DTU. He has also completed his schooling from Delhi Public School Rohini. Raghav's technical expertise includes Software Engineering, Research Science, ML, Javascript, PHP, Mobile, Python, Java, Spark, and Apache Hive. He has relevant experience of 2.68 years.