Sidhi Adkoli
About Sidhi Adkoli
Sidhi Adkoli is a Staff Software Engineer specializing in Machine Learning, currently employed at ThoughtSpot. With previous experience at companies such as Zoom and Microsoft, Adkoli has a strong background in software engineering and education.
Current Role at ThoughtSpot
Sidhi Adkoli serves as a Staff Software Engineer specializing in Machine Learning at ThoughtSpot. She has been in this role since 2023 and operates within a hybrid work environment in the San Francisco Bay Area. Her responsibilities include developing and implementing machine learning algorithms to enhance the company's data analytics capabilities.
Previous Experience at Zoom
Before joining ThoughtSpot, Sidhi worked at Zoom as a Machine Learning Engineer from 2022 to 2023. During her tenure, she contributed to various machine learning projects aimed at improving user experience and optimizing performance within the platform. Her role was based in California, United States.
Experience at Microsoft
Sidhi Adkoli has a significant background at Microsoft, where she held multiple positions. She worked as a Software Engineer II from 2014 to 2017 in the Hyderabad Area, India. Prior to that, she completed a Software Development in Test Internship in 2013 for one month in Hyderabad, India. Her experience at Microsoft provided her with a strong foundation in software engineering practices.
Education and Academic Roles
Sidhi earned her Master of Science in Computer Science from Columbia University from 2017 to 2018. During her time at Columbia, she also served as a Graduate Teaching Assistant and a Graduate Tutor, where she supported students in their coursework. Additionally, she completed her Bachelor of Engineering in Computer Science at PESIT from 2010 to 2014.
Experience at Mod9 Technologies
At Mod9 Technologies, Sidhi held various roles, including Graduate Student Intern in 2018 for seven months and Research Software Engineer from 2019 to 2022. Her work involved research and development in software engineering, contributing to projects that leveraged her machine learning expertise in the Berkeley, California area.