Devanshi Vyas

Devanshi Vyas has a diverse work experience spanning various roles and companies. Devanshi is currently a Co-Founder at Censius, a position they started in April 2023. Prior to that, they worked as a Senior Machine Learning Engineer at doc.ai from December 2022 to April 2023.

Before their role at doc.ai, Devanshi was an Amazon Music Machine Learning SDE II at Amazon from October 2019 to December 2022. Prior to that, they held two roles at Amazon Web Services (AWS) - SDE II from October 2018 to September 2019 and Software Development Engineer from February 2017 to September 2018. In both roles, they worked within the EC2 VM Import Export team.

Earlier in their career, Devanshi had a brief stint at Square as a participant in Code Camp 2016, where they worked on revamping a website and built an iOS application. Devanshi also worked as a Software Engineer Intern at NGP VAN in 2016.

Devanshi's experience also includes a teaching assistant role at Columbia University in the City of New York, where they served as a Teaching Assistant for the Analysis of Algorithms course from January 2016 to May 2016. Devanshi also worked as a Teaching Assistant for Data Structures and Algorithms at Dhirubhai Ambani Institute of Information and Communication Technology from July 2014 to December 2014.

Devanshi Vyas completed their Bachelor of Technology (B.Tech.) in Information and Communication Technology with a major in Computer Science from Dhirubhai Ambani Institute of Information and Communication Technology in the period from 2011 to 2015. Following that, they pursued a Master of Science (M.S.) in Computer Science from Columbia University, which they completed in 2016.

In addition to their formal education, Devanshi Vyas has obtained several certifications in the field of machine learning and deep learning. Devanshi completed the following courses on Coursera: "Neural Networks and Deep Learning" in August 2017, "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" in September 2017, "Structuring Machine Learning Projects" in October 2017, "Convolutional Neural Networks" in December 2017, "Sequence Models" in February 2018, and "Deep Learning Specialization" from the same institution in February 2018.