Neilesh Chorakhalikar

Senior Software Engineer

San Jose, California, United States15 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in GPU programming and parallel processing.
Experience in cloud gaming technology and medical image processing.
Strong background in software development and system programming.

Stackforce AI infers this person is a highly skilled Software Engineer specializing in GPU programming and cloud gaming technologies.

Contact

cns.nilesh@gmail.com LinkedIn

Skills

Core Skills

Gpu ProgrammingMedical Image Processing

Other Skills

ARMAlgorithmsAutomationCC++CUDAComputer ArchitectureData AnalyticsData StructuresDatabasesDebuggingDevice DriversDockerElasticSearchEmbedded Systems

About

Currently working at NVIDIA Corporation as Software Engineer in Santa Clara office, I Graduated from University of Texas at Dallas with concentration on Computer Graphics and system programming. Interests: ML, NLP, System Programming, Parallel programming architecture, Synthesis and Opt of High Perf Systems ,GPGPU , OpenGL ,Geometric modelling and Rendering techniques.

Experience

Nvidia

2 roles

Senior Software Engineer

May 2014 – Present · 11 yrs 10 mos · San Francisco Bay Area

Software Intern

May 2013 – Dec 2013 · 7 mos · Santa Clara

Worked as Software Intern in GRID team, GRID is cloud gaming technology which is revolutionizing the way gaming industry works. I also worked on PC2Shield streaming where the games on PC are seamlessly streamed to the Shield device without compromising rendered image quality and responsiveness.

University of texas at dallas

Graduate Research Assistant

Jan 2013 – May 2013 · 4 mos · CGA Lab ,Department of Computer Science ,UT Dallas

Worked as a Research Assistant on project - GPU Based splatting projection for volume rendering
I worked with Prof Xia G. from Dept of Computer Science UT Dallas ,Dr Mao from Southwest Medical Center and Zichun Z. Phd Student at UT Dallas on Medical Image processing project.
I was primarily responsible for designing and running the deformation algorithm , volume rendering and Voxel projections on GPU using parallel processing algorithms to achieve the desired results.I used CUDA to utilize the full potential of the GPU for programming the work assignment.
This is on going research and the current research work includes:
Timing and performance analysis of code path on GPU
Identifying and resolving bottlenecks on parallel computing
GPU memory access patterns and optimization for performance improvements
Designing and implementing different scheduling algorithms on GPU for performance improvements