About

Devyani Gupta is a highly qualified and experienced Consulting Software Engineer with a Master's degree in Computer Science from Georgia Tech Institute of Technology. With over 7.5 years of experience in the industry, she possesses a diverse skill set that includes Python, ML, AI, SQL, MongoDB, Hadoop, AWS, and Azure, among others. Currently working as a Consulting Software Engineer at MongoDB, Devyani has expertise in API designing, coding, and scaling. She has worked on various BI projects to display data for easy decision-making using RDBMS and COSMOS. Additionally, she has worked on an ad-serving platform for developing extended features for a Header Bidder platform. Devyani has also conducted research on debugging the Comparison of Sound (NPE Detector) and Unsound (Find Bugs) bug detection tools and the need for sound bug detection. She has experience in querying and optimizing very large databases and has provided business intelligence in various domains. In her previous roles, Devyani has worked at companies like SHL and Directi, where she created a TC Scales Utility for showing insights for personality assessment test using C#, SQL Server 2016. She also worked on a real-time bidding platform for ad-serving platforms in order to ensure relative and contextual ads with the best bid are rendered. Devyani's educational background includes a Bachelor's degree in Computer Engineering from Bharati Vidyapeeth and a Senior Secondary degree from St. Maria Goretti Inter College Bareilly. She also has a Master's degree in Computer Science from Georgia Tech Institute of Technology. With a diverse tech stack that includes AI, Python, SQL, MongoDB, ML, Javascript, AWS, Hadoop, Azure, and more, Devyani is a highly skilled and experienced Consulting Software Engineer with relevant experience of 7.53 years.