Umang Gala

Umang Gala

Software Development Engineer Ii @ Expedia

About Umang Gala

Umang Gala is a Software Development Engineer II at Expedia Group with a background in computer science and engineering, and experience in natural language processing and ontology creation.

Company

Umang Gala is currently working at Expedia Group as a Software Development Engineer II. His work at Expedia includes enhancing the lodging pricing platform by designing features that improve conversion rates and reduce price mismatches between search and checkout processes.

Title

Umang Gala serves as a Software Development Engineer II at Expedia Group. He was promoted to this position in 2019 after working for a year as a Software Development Engineer I at the same company.

Education and Expertise

Umang Gala holds a Master's degree in Computer Science from the University of Southern California, where he studied from 2016 to 2018. He also holds a Bachelor of Engineering (B.E.) degree in Computer Engineering from Dwarkadas J. Sanghvi College of Engineering, completed in 2014. Additionally, he achieved a Higher Secondary Course with 79.88% from Guru Nanak Khalsa College.

Background

Before joining Expedia Group, Umang Gala gained experience at various organizations. He was a Summer Intern at Interactions LLC in 2017, working on a discourse parser for Intent Classification in Text. He also served as a Graduate Research Assistant at the University of Southern California's Information Sciences Institute from 2016 to 2017. Earlier in his career, he worked as an SAP Consultant at Tata Consultancy Services from 2014 to 2015.

Achievements

At Expedia Group, Umang Gala made significant contributions to the lodging pricing platform, including designing features that improved conversion rates and reduced price mismatches between search and checkout processes. He implemented a parallel stack setup to enhance system stability and reduce downtime during maintenance periods. During his internship at Interactions LLC, he developed a discourse parser for Intent Classification in Text, advancing Natural Language Processing.

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