Sudhanshu Sane
About Sudhanshu Sane
Sudhanshu Sane is a Software Engineer at Luminary Cloud, where he has worked since 2021. He has a strong background in computer science, holding a PhD from the University of Oregon, and has experience in scientific computing and data visualization.
Work at Luminary Cloud
Sudhanshu Sane has been employed as a Software Engineer at Luminary Cloud since 2021. In this role, he focuses on developing software solutions that enhance the capabilities of cloud-based platforms. His work involves collaborating with cross-functional teams to implement features that improve user experience and performance.
Previous Experience in Research and Development
Before joining Luminary Cloud, Sudhanshu worked as a Postdoctoral Researcher at the Scientific Computing and Imaging Institute at the University of Utah from 2020 to 2021. His earlier roles include positions as a Software Engineer at eQ-Technologic from 2013 to 2014, and as a Graduate Research Intern at Lawrence Livermore National Laboratory and Los Alamos National Laboratory in 2016 and 2017, respectively.
Education and Expertise
Sudhanshu Sane holds a Doctor of Philosophy (PhD) in Computer Science from the University of Oregon, where he studied from 2016 to 2020. He also earned a Master of Science (MS) in Computer Science from the same institution from 2014 to 2016. His undergraduate studies culminated in a Bachelor of Engineering (BE) in Information Technology from Sinhgad College of Engineering, Pune, completed in 2013.
Research Focus and Specializations
Sudhanshu specializes in the visualization of uncertain multi-variate data and scientific data reduction techniques. He works with large-scale scientific simulation codes that run on supercomputers and has a particular focus on the visualization of time-varying vector fields. His expertise includes optimizing the performance of algorithmically challenging problems and developing scalable solutions.
Career Development and Internships
Sudhanshu's career development includes significant internships, such as his role as a Project Intern at Persistent Systems from 2012 to 2013 and as a Graduate Employee at the University of Oregon from 2014 to 2020. These experiences contributed to his foundational skills in software engineering and research methodologies.