Suryakant Patidar
Suryakant Patidar completed his B.Tech. with honors in CSE from IIIT Hyderabad and his M.S. in the field of High Performance Computing with GPUs. His thesis work contributed the fastest sorting algorithm on the GPU outperforming various algorithms published by reputed universities and industry research labs. He has been working with the state of the art parallel hardware for designing various algorithms and primitives for speeding up data and processing intensive systems. He has been among the first movers in the field of GPU computing and has published to reputed conferences. He has also mentored computer vision and computer graphics based projects on CUDA hardware as a part of his research work.
Previously he was the Co-Founder and Chief Architect at DrishtiCare - a healthcare startup providing telemedicine based solutions empowered by Image Processing technologies. DrishtiCare’s main focus was to provide easily accessible retinal diagnosis services for early diagnosis of eye disorders caused by diabetes. His role at DrishtiCare comprised of design and development of software along with performance and quality assurance of underlying algorithms. He was awarded GE scholarship rendered to 40 odd post graduate students in India. As part of the scholarship program he led a group of GE co-scholars at J. F. Welch Technology Centre, Bangalore for a 2 day workshop which ended with a business presentation on an innovative technology worked over the period of the workshop. He worked as a part time employee with FotoLink developing a mobile application powered by J2ME and Semacode technology.
He has a keen interest in building and analyzing existing and upcoming distributed systems. He is proficient in LAMP, C/C++, multi core programming, GPU programming languages, PHP, Perl and AJAX, skilled over a wide spectrum of projects. He served as system administrator at his research group managing data and web servers along with network management. His research work on visualizing large terrain data accompanied by satellite imagery was funded by DRDO and Microsoft Research. He also worked on a industry project outsourced by a Japanese firm which required streaming of variable bit rate videos from a central server to PDAs in its vicinity based on PDA’s connectivity strength.