Sruthi Madapoosi Ravi
About Sruthi Madapoosi Ravi
Sruthi Madapoosi Ravi is a Machine Learning Scientist at Adobe, where she has worked since 2018, contributing to machine learning models for Adobe Document Cloud. She has a background in computer science with degrees from Anna University and the University of Southern California, and previous experience at eBay and the USC Institute for Creative Technologies.
Work at Adobe
Sruthi Madapoosi Ravi has been employed at Adobe since 2018 as a Machine Learning Scientist. In this role, she has contributed to the development of machine learning models specifically for Adobe Document Cloud. Her work focuses on advancements in artificial intelligence, particularly in the context of document management and processing.
Previous Experience at eBay
Prior to her tenure at Adobe, Sruthi worked at eBay in various capacities. She served as a Software Engineer 2 from 2013 to 2016 in Bangalore, India, where she gained experience in software development. In 2017, she completed a three-month internship as a Graduate Intern in Applied Machine Learning at eBay in San Jose, California.
Research Experience
In 2017, Sruthi was involved in directed research at the USC Institute for Creative Technologies for seven months in the Greater Los Angeles Area. This role allowed her to explore her research interests in generative models and deep learning, contributing to her expertise in machine learning.
Education and Expertise
Sruthi Madapoosi Ravi holds a Bachelor’s Degree in Computer Science from Anna University, where she studied from 2009 to 2013. She furthered her education by obtaining a Master’s Degree in Computer Science from the University of Southern California Viterbi School of Engineering in 2017. Additionally, she completed her high school education in Computer Science at D.A.V Gopalapuram from 1995 to 2009.
Location and Focus
Based in San Jose, California, Sruthi focuses on advancements in artificial intelligence. Her work at Adobe and her research interests position her at the forefront of machine learning applications, particularly in document processing and generative models.