Supreeth Narasimhaswamy
About Supreeth Narasimhaswamy
Supreeth Narasimhaswamy is an applied researcher at Adobe, specializing in Generative AI. He has a strong academic background in computer science, holding a PhD from Stony Brook University and a Bachelor of Engineering from RV College of Engineering.
Work at Adobe
Supreeth Narasimhaswamy currently holds a position in Applied Research at Adobe, focusing on Generative AI. He began this role in 2024 and has been contributing to the company's research initiatives for seven months. Prior to this, he served as a Research Scientist Intern at Adobe in 2023 for seven months, where he engaged in various research projects. His experience at Adobe reflects his commitment to advancing technology in the field of artificial intelligence.
Education and Expertise
Supreeth Narasimhaswamy has a strong educational background in computer science. He earned his Bachelor of Engineering from RV College of Engineering from 2013 to 2017. He then pursued further studies at Stony Brook University, where he completed a Master of Science with a thesis in Computer Science from 2018 to 2019. He continued at Stony Brook University, achieving a Doctor of Philosophy (PhD) in Computer Science, specializing in Computer Vision and Machine Learning, from 2020 to 2024.
Background
Supreeth Narasimhaswamy's professional journey includes significant roles in academia and industry. He worked as a Teaching Assistant at Stony Brook University for four months in 2019. He also served as a Research Assistant at the same institution from 2019 to 2021, contributing to various research projects. His industry experience includes internships at Microsoft in 2021, Snap Inc. in 2022, and Adobe in 2023, where he gained practical insights into research applications in technology.
Internship Experience
Throughout his career, Supreeth Narasimhaswamy has completed several internships that have shaped his expertise in research. He was a Research Intern at Microsoft for three months in 2021, where he gained experience in applied research. In 2022, he interned at Snap Inc. for four months in the New York City Metropolitan Area, further expanding his research skills. His internships have provided him with diverse experiences in the tech industry, enhancing his knowledge in computer science.