Rishi Gulati

Rishi Gulati

Software Engineer @ NBA

About Rishi Gulati

Rishi Gulati is a Software Engineer currently working at the NBA and the University of Illinois Urbana-Champaign. He has a diverse background in software development and machine learning, with experience at several notable companies and institutions.

Professional Experience at NBA

Rishi Gulati currently serves as a Software Engineer at the National Basketball Association (NBA), based in New York, United States, working remotely since 2023. In this role, he advanced the NBA's software capabilities for streaming live content on platforms like PlayStation and Xbox using Next.js. Additionally, he led the development of an AI chatbot for basketball queries using OpenAI's GPT API and DALL.E API. Rishi also implemented front-end and back-end updates to improve NBA Assist, a mobile-based question-answer bot.

Professional Experience at University of Illinois Urbana-Champaign

Since 2022, Rishi Gulati has been a Research Assistant at the University of Illinois Urbana-Champaign in Champaign County, Illinois, United States. This on-site position involves contributing to significant research projects within the university. Rishi's responsibilities and contributions are rooted in his strong background in computer science and engineering.

Educational Background

Rishi Gulati obtained a Master's degree in Computer Science from the University of Illinois Urbana-Champaign, completing his studies from 2022 to 2023. Additionally, he held research fellowships at the Technical University of Sofia in 2018 and Ural State Technical University in 2017, focusing on computer science and computer engineering respectively. He earned a Bachelor of Engineering (BE) degree in Electrical, Electronics, and Communications Engineering from the University of Mumbai, graduating after a four-year program from 2016 to 2020.

Professional Experience in Early Career

Rishi Gulati's early career spanned several roles in Mumbai, India. From 2020 to 2022, he worked as a Software Engineer at TCS iON. In 2019, he briefly worked as a Software Engineer at Tata Consultancy Services. His expertise in machine learning was showcased during a one-month stint in 2018 as a Machine Learning Engineer at Jio. Additionally, he contributed as a Full Stack Engineer at Naman Angels India Foundation and gained experience in web development at Cognologix Technologies during 2017-2018.

Technical Contributions and Projects

Rishi Gulati has made notable technical contributions in his field. He developed the Rendezvous Linking feature on Roku, which significantly reduced sign-in time by approximately 30+ seconds per user and enhanced the user experience using BrightScript on Roku streaming players. His projects reflect a blend of front-end and back-end development skills aimed at improving user interfaces and technical processes in diverse settings.

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