Shailesh Tripathi

Senior Software Engineer

Bengaluru, Karnataka, India8 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in High Performance Computing and GPU programming.
Proven track record in software development at leading tech companies.
Strong academic background with a Master's in Computer Science.

Stackforce AI infers this person is a Software Engineer specializing in High Performance Computing and GPU technologies.

Contact

Skills

Core Skills

High Performance ComputingSoftware Development

Other Skills

CUDAC++OpenCLJavaCAlgorithmsData StructuresMicrosoft OfficeResearchImage ProcessingSignal ProcessingOpenCVPlacement TestMicrosoft ExcelMicrosoft PowerPoint

About

Experienced Graduate Research Assistant with a demonstrated history of working in the higher education industry. Skilled in C++, High Performance Computing, Python, Java and Project Management. Strong research professional with a Master of Science - MS focused in Computer Science from The Ohio State University.

Experience

Google

2 roles

Senior Software Engineer

Promoted

Nov 2024 – Present · 1 yr 4 mos

Software Engineer III

Dec 2021 – Nov 2024 · 2 yrs 11 mos

Amazon web services (aws)

2 roles

Software Development Engineer 2

Promoted

Apr 2021 – Dec 2021 · 8 mos

Software Development Engineer

Jul 2019 – Apr 2021 · 1 yr 9 mos

Roche

GPU Software Engineer Intern

May 2018 – Aug 2018 · 3 mos · San Francisco Bay Area

Developed a parallel version of SPICE circuit simulator.
Collaborated with multiple teams to study the requirements and finalized an Object Oriented Design for the simulator.
Implemented the simulator for GPU (using CUDA) to support thousands of light-weight simulations per device.

The ohio state university

2 roles

Graduate Research Associate

Dec 2017 – May 2019 · 1 yr 5 mos

Graduate Student Associate

Aug 2017 – Nov 2017 · 3 mos

Google

Contract Developer

May 2016 – Aug 2016 · 3 mos

Google Summer of Code, 2016
Worked with International Neuroinformatics Coordinating Facility on GeNN(GPU-enhanced Neuronal Network)
Enhanced portability by implementing the CUDA based software to OpenCL to remove NVIDIA hardware restriction.
Worked on the large code base on C++.
Gained knowledge about the micro-optimization in GPU computing.
Coordinated with the team at University of Sussex.

CUDAC++High Performance Computing

Citi

Summer Intern

May 2016 – Jul 2016 · 2 mos · Pune

Implemented HTTP-based REST API (JAVA) for the existing database access system.

CUDAC++OpenCLHigh Performance Computing

Defence research and development organisation

Research Intern

Jun 2015 – Jul 2015 · 1 mo

Developed “GPU Accelerated Software for Tomography
Imaging”.
Implemented “Filtered Backprojection Algorithm” published in A. C. Kak and Malcolm Slaney,
Principles of Computerized Tomographic Imaging, IEEE Press, 1988.
Converted the above serial algorithm to parallel algorithm and implemented on NVIDIA GPU
using CUDA 7.0 Toolkit and Microsoft Visual Studio and display using OpenGL

JavaSoftware Development