Ramana Sundararaman
About Ramana Sundararaman
Ramana Sundararaman is a Research Engineer at Inria in Rennes, Brittany, France, where he has worked since 2019. He has previous experience as a Deep Learning Engineer at SciSports and has held various internships at Google and Télécom ParisTech.
Work at Inria
Ramana Sundararaman has been employed as a Research Engineer at Inria since 2019. He is based in Rennes, Brittany, France, where he has contributed to various research projects over the past five years. His role involves applying advanced engineering principles and methodologies in research settings, focusing on innovative solutions within his field.
Previous Experience in Deep Learning
Prior to his current position, Ramana Sundararaman worked as a Deep Learning Engineer at SciSports from 2018 to 2019. His tenure lasted nine months, during which he focused on developing machine learning models and algorithms to enhance sports analytics and performance metrics.
Internship Experience at Google
Ramana Sundararaman completed two summer internships at Google. The first internship occurred in 2015, lasting three months, and the second took place in 2016, also for three months. Both internships were conducted remotely, where he gained valuable experience in software development and engineering practices.
Education and Academic Background
Ramana Sundararaman studied Electrical and Electronics Engineering at the Birla Institute of Technology and Science, Pilani, from 2013 to 2017. He earned his degree after four years of study. Earlier, he attended P.S. Senior Secondary School from 1999 to 2013, completing his secondary education over a span of 14 years.
Research Internships and Assistant Roles
In addition to his engineering roles, Ramana Sundararaman has held research positions. He worked as a Research Intern at Télécom ParisTech for four months in 2016, focusing on telecommunications research. Additionally, he served as a Research Assistant at the Insight Centre for Data Analytics in Dublin from 2017 to 2018 for 11 months, contributing to data analytics projects.