Siddharth Swain
About Siddharth Swain
Siddharth Swain is a researcher currently affiliated with the Barcelona Supercomputing Center and the University of Toronto, focusing on Exascale Computing. He has a background in computer science and has previously worked at Qualcomm and the Tata Institute of Fundamental Research.
Work at Barcelona Supercomputing Center
Siddharth Swain has been working as a Researcher at the Barcelona Supercomputing Center since 2020. His role involves contributing to advanced computing projects, focusing on high-performance computing and related fields. The center is known for its cutting-edge research and development in supercomputing technologies.
Previous Experience at Qualcomm
Before joining the Barcelona Supercomputing Center, Siddharth worked at Qualcomm as an LLVM Compiler Engineer from 2017 to 2019. His responsibilities included developing and optimizing compiler technologies, contributing to projects that enhance software performance and efficiency. This role was based in the Hyderabad Area, India.
Education and Expertise
Siddharth Swain holds a Master of Technology (MTech) in Computer Science from the Birla Institute of Technology and Science, Pilani. He also earned a Bachelor's Degree in Computer Science from the Silicon Institute of Technology, Bhubaneswar. His foundational education includes studies in Physical Sciences at D.A.V Public School, where he completed his 10th and 12th board examinations.
Internship Experience
Siddharth gained valuable experience through internships at notable institutions. In 2017, he interned for one month at the Institute for Quantum Computing at the University of Waterloo, Canada. Additionally, he served as a Summer Research Intern at the Tata Institute of Fundamental Research in Mumbai for three months in 2016, where he engaged in research activities.
Current Role at University of Toronto
In addition to his position at the Barcelona Supercomputing Center, Siddharth has been working as a Researcher in Exascale Computing at the University of Toronto since 2020. His work focuses on the challenges and advancements in exascale computing, contributing to the development of future computing systems.