Prakruth Gowda

Software Engineer

Bengaluru, Karnataka, India9 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Image Processing and Deep Learning algorithms.
Proficient in assembly and intrinsic level programming.
Experience with performance optimization for real-time applications.

Stackforce AI infers this person is a specialist in Image Processing and Deep Learning within the SaaS industry.

Contact

Skills

Core Skills

Image ProcessingDeep LearningCybersecurity

Other Skills

SIMDVLIWAssembly Level OptimizationConvolutional Neural NetworksPerformance ImprovementTensilica Xtensa Vision ProcessorsARM NeonTI C66x DSPsCybersecurity AlgorithmsValidation & Verification AutomationADASComputer VisionMachine LearningARM ArchitectureMatlab

About

Engineering a better, smarter and a faster world - one code at a time. - Experienced in developing Image Processing and Deep Learning algorithms - Experienced in design and development of optimized software for performance intensive processors (DSP, Vector Coprocessors) - Experienced in assembly and intrinsic level programming (programming paradigms such as SIMD, VLIW) - Experienced in platforms/architectures, such as Tensilica Xtensa Vision Processors (Vision C5, Vision P6 and Vision Q7), ARM Neon, TI C66x, Hexagon/HVX - Experienced with domain specific languages like Halide

Experience

9 yrs 10 mos

Total Experience

3 yrs 3 mos

Average Tenure

6 yrs 10 mos

Current Experience

Samsung r&d institute india - bangalore private limited

Associate Staff Engineer

Jul 2019 – Present · 6 yrs 10 mos · Greater Bengaluru Area

Pathpartner technology

Computer Vision Engineer

Jul 2017 – Jul 2019 · 2 yrs · Bengaluru Area, India

Experience in developing optimized software using SIMD, VLIW and assembly level optimization techniques for various Image Processing modules and a comprehensive Convolutional Neural Network library for various processor architectures such as - Tensilica Xtensa Vision Reconfigurable Processor Cores, ARM Neon and TI C66x DSPs.
Experience in performance improvement and tuning of end to end CNNs for real time applications.
Knowledge of various CNN architectures used for Classification, Detection and Segmentation.

Image ProcessingDeep LearningSIMDVLIWAssembly Level OptimizationConvolutional Neural Networks+4

Autoliv

Intern

Jan 2016 – Jan 2017 · 1 yr · Bengaluru Area, India

Worked on developing Cybersecurity algorithms as a library to enable automation of validation & verification for Automotives. This work was a part of Master's Thesis.

Cybersecurity AlgorithmsValidation & Verification AutomationCybersecurity