Dinesh Yadav

Software Engineer

Bengaluru, Karnataka, India9 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

6+ years in AI/ML software stack development
Expert in C/C++ and SystemC programming
Proven experience in optimizing DNN performance

Stackforce AI infers this person is a Software Engineer specializing in AI/ML technologies and systems architecture.

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Skills

Core Skills

Software DevelopmentC++SystemcMachine Learning

Other Skills

LinuxDNN Performance OptimizationTesting and VerificationRecommendation SystemsDeep LearningComputer VisionData StructuresAlgorithmsVerilogPythonMatlabMicrosoft OfficeProcessor Design

About

Experienced in computer architecture, systems engineering, android engineering & runtime development. Have 6+ years of experience of developing software stack for AI/ML accelerators for mobile applications. 2+ years of experience in developing user space libraries for Android/Linux ecosystem. Expert in programming languages - C/C++, SystemC.

Experience

Google

Software Engineer

Apr 2021 – Present · 4 yrs 11 mos · Bengaluru, Karnataka, India · On-site

Primarily working on software development of a programmable compute DSP sub-system used in Google's Mobile SOC Platform.
My role involves creating user space libraries (runtime) to ease usable of compute DSP for our customers by providing high-level APIs.

Software DevelopmentC++Linux

Samsung electronics

5 roles

Chief Engineer (Engineer III) - Samsung Advanced Institute of Technology (SAIT)

Mar 2021 – Mar 2021 · 0 mo

Lead Engineer (Engineer II) - Samsung Advanced Institute of Technology (SAIT)

Promoted

Mar 2019 – Feb 2021 · 1 yr 11 mos

Working with architects and researchers for coming up with ideas for boosting performance of various layers in DNNs.
Responsible for SystemC development & verification of next generation of Samsung NPU.

SystemCDNN Performance OptimizationMachine Learning

Researcher - Samsung Advanced Institute of Technology (SAIT), S. Korea

Mar 2019 – May 2019 · 2 mos

Responsible for top level modelling of cycle approximate SystemC simulator for next generation Neural Processing Unit (NPU) designed for On-Device AI processing.
Working with architects and researchers for coming up with ideas for boosting performance of various layers of DNNs.

SystemCDNN Performance OptimizationMachine Learning

Engineer - Samsung Electronics System LSI division, S. Korea

Feb 2018 – Apr 2018 · 2 mos

Involved in module and top level testing and verification of next generation NPU in SystemC.
Worked with architects for implementing policies for efficient processing of Fully-Connected layers (part of CNNs) on NPU.

SystemCTesting and Verification

Senior Software Engineer (Engineer I) - Samsung Advanced Institute of Technology(SAIT)

Jul 2017 – Feb 2019 · 1 yr 7 mos

Responsible for top level testing & verification of SystemC model for Samsung Neural Processing Unit (NPU) designed for On-device AI Processing for Premium mobile devices.
Worked on module level verification of SystemC model for NPU designed for Automotive Applications.
Designed, implemented & simulated a TLM based cycle approximate timing simulator in SystemC for NPU.
Worked on testing & programming of a C++ based functionally accurate simulator useful for Complier of NPU.

SystemCTesting and VerificationC++Software Development