Arjun Surendran
About Arjun Surendran
Arjun Surendran is a Staff AI Framework Engineer currently working at Modular since 2023. He has a diverse background in engineering, having held positions at companies such as Adobe, Lyft, and MathWorks, and has earned degrees in Electrical Engineering and Electronics Service Technology.
Current Role at Modular
Arjun Surendran currently serves as a Staff AI Framework Engineer at Modular. He has held this position since 2023, working remotely from the San Francisco Bay Area. In this role, he focuses on developing and enhancing AI frameworks, contributing to Modular's innovative projects in artificial intelligence.
Previous Experience at Modular
Prior to his current position, Arjun worked at Modular as a Senior AI Framework Engineer from 2022 to 2023. During his year in this role, he contributed to various AI initiatives and collaborated with teams to improve framework efficiency and performance.
Professional Background
Arjun's professional background includes significant roles in software engineering and machine learning. He worked as a Machine Learning Engineer II and III at Adobe from 2020 to 2022, where he focused on implementing machine learning solutions. Additionally, he gained experience as a Software Engineer Intern at MathWorks and Lyft in 2019, contributing to projects in software development and autonomous driving.
Educational Qualifications
Arjun holds a Master of Science in Electrical Engineering from the University of Southern California, where he studied from 2018 to 2019. He also earned a Bachelor of Technology in Electrical and Electronics Engineering from Mahatma Gandhi University, completing his degree from 2010 to 2014. His foundational education includes a Plus Two in Electronics Service Technology from Model Technical HSS and SSLC from Vidyadhiraja Vidya Bhavan HSS.
Early Career at Indian Railways
Arjun began his career as a Senior Section Engineer at Indian Railways, where he worked from 2015 to 2017. This role provided him with practical engineering experience in a large-scale infrastructure environment, contributing to his technical skills and professional development.