About

Pranav Kumar Sivakumar is a highly adaptable software developer with a passion for solving intriguing problems. With a strong interest in Data Science, Big Data, and Deep Learning, especially in the fields of NLP and CV, Pranav has worked on a range of exciting projects and gained solid work experience from tech industry leaders such as Amazon and Uber. Currently, Pranav is a Software Engineer at Uber, working on the Customer Identity Platform Team. He is responsible for building customer signup, login, and identity management platforms, as well as delivering business solutions for integrating third-party acquisitions and joint ventures. He has also led multiple migrations, including identity services to the latest A/B test platform and user-service framework, and a major endpoint to Uber's Edge gateway. Prior to joining Uber, Pranav worked as a Software Development Engineer at Amazon, where he was a part of the Grocery Personalization Team. Here, he personalized AmazonFresh, PrimeNow, and Wholefoods online shopping experiences, performed software development on various strategies generating recommendations, and improved and personalized the "Recommended For You" widget's recommendations. He also displayed operational excellence by reducing the average ticket queue size by 30% and added advanced granular revenue metrics that are exclusively used by the entire organization for analyzing A/B tests. Pranav has also gained experience as a Data Engineer Intern/Co-op at Truu, Inc., a company that aims to achieve frictionless cybersecurity by using motion data patterns. Here, he worked in the data science and engineering team, focused on improving the scalability of the platform, detecting anomalies, writing maintenance scripts, creating datasets, training, testing, and operationalizing machine learning models, as well as automating their training. Pranav holds a Master of Science in Computer Science from the University of Colorado Boulder, where he completed his degree in 2019. He also holds a Bachelor of Technology in Computer Science and Engineering from NIT Tiruchirappalli, which he completed in 2017. Prior to this, he completed his High School education in Maths and Computer Science at Maharishi International Residential School. Pranav's tech stack includes expertise in Software Engineering, Data Science, Research Science, Deep Learning, NLP, Big Data, Computer Vision, Data Engineering, Python, Golang, Scala, Java, ML, Neural Networks, Kafka, and Pytorch. With 3.85 years of relevant experience, Pranav is a highly skilled and motivated professional