Swapnil Singhavi
About Swapnil Singhavi
Swapnil Singhavi is a Software Engineer specializing in Machine Learning, currently employed at Petuum, Inc. and serving as a Graduate Teaching Assistant at Carnegie Mellon University since 2018.
Work at Petuum
Swapnil Singhavi has been employed at Petuum, Inc. as a Software Engineer specializing in Machine Learning since 2019. His role involves developing and implementing machine learning algorithms and solutions. Prior to this position, he served as a Machine Learning Intern at Petuum for three months in 2018, where he gained practical experience in the field.
Current Role at Carnegie Mellon University
Since 2018, Swapnil Singhavi has worked as a Graduate Teaching Assistant at Carnegie Mellon University. In this role, he supports faculty in teaching and assists students in understanding complex concepts in computer science and machine learning. His experience spans six years in the Greater Pittsburgh Area.
Education and Expertise
Swapnil Singhavi holds a Master of Computational Data Science from Carnegie Mellon University, where he studied from 2017 to 2018. He also earned a Bachelor of Engineering in Computer Engineering from Vidyalankar Institute of Technology, completing his studies from 2009 to 2013. His educational background provides a strong foundation in computer science and data analysis.
Previous Experience at Barclays
Before his current roles, Swapnil Singhavi worked as an Analyst at Barclays from 2013 to 2017 in the Pune Area, India. In this position, he was involved in data analysis and project management, contributing to various financial projects during his four-year tenure.
High School Education
Swapnil Singhavi completed his high school education at Shreerang Vidyalaya from 1996 to 2007. This foundational education spanned eleven years and set the stage for his future academic and professional pursuits.