About

Rishabh Narang is a highly skilled and accomplished Software Engineer with 3.77 years of relevant experience in building scalable and reliable software systems. He is currently working as a Software Engineer at Uber, where he is responsible for developing and maintaining software applications that enhance the user experience. Rishabh holds a Master of Science degree in Computer Science from Columbia University, where he was a Graduate Research Assistant working under the guidance of Professor Julia Hirschberg. During his time at Columbia, Rishabh gained extensive experience in building Heterogeneous Models for Fake News and Intent Detection using text and speech. He also served as a Graduate Teaching Assistant for COMS 6998 - Cloud Computing & Big Data by Professor Sambit Sahu. Prior to joining Uber, Rishabh spent his last summer at MathWorks, where he built a serverless and scalable architecture of Data Logging (Metrics and Compliance) Pipeline using GoLang and NoSQL. He leveraged different AWS resources such as Lambda Handlers, DynamoDB, and API Gateways, and made use of Go Routines and Channels to avoid rendering delays because of the huge amount of logging data. Rishabh's technical expertise includes Software Engineering, AWS, Research Science, Golang, NoSQL, and Big Data. He is a highly motivated and dedicated individual with a strong work ethic and a passion for learning and growing in his field. With his exceptional skills and experience, Rishabh is a valuable asset to any organization he works with.