Krishna Raju

Software Engineer

India13 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in image and video processing technologies.
Significant contributions to machine learning and deep learning frameworks.
Proven track record in optimizing algorithms for multi-core architectures.

Stackforce AI infers this person is a Video Processing and Machine Learning expert with a focus on algorithm optimization.

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Skills

Core Skills

Deep LearningMachine LearningComputer VisionAlgorithm OptimizationVideo Codec EngineeringPerformance Optimization

Other Skills

ML application researchTensorFlowPyTorchSSE intrinsicOpenMPHEVC encoderAVX2SSEMulti-threadingOpenCL/CUDAPython (Programming Language)x86 AssemblyVisual StudioC++C

About

•Hands-on domain and technology experience in Image and video processing, Object detection and classification using Machine learning, Deep Neural network, Convolution neural network , Video codecs, Multimedia framework, video algorithms optimization on multi-core platform architectures. •Hands-on experience Apache TVM and MLC-LLM compiler framework. - Contributor •Hands-on experience CPU(Pthread, AVX instruction set) and GPU programming - CUDA, OpenCL.

Experience

13 yrs 3 mos

Total Experience

2 yrs 4 mos

Average Tenure

4 yrs 5 mos

Current Experience

Qualcomm

2 roles

Senior Staff Engineer

Promoted

Nov 2025 – Present · 5 mos

Staff Engineer

Nov 2021 – Nov 2025 · 4 yrs

Amd

Member Of Technical Staff

May 2021 – Nov 2021 · 6 mos

Blaize

2 roles

Staff Research Engineer

May 2020 – Apr 2021 · 11 mos

Senior Research Engineer

May 2017 – May 2020 · 3 yrs

Working in Deep learning and ML application research and development on tensorflow and pytorch framework.

Deep learningML application researchTensorFlowPyTorchDeep LearningMachine Learning

Continental

Senior Software Engineer

Jun 2016 – May 2017 · 11 mos · Bangalore, India

Project : Real time platform development for Computer vision algorithm.
Responsible for optimization of Generic Sequence segmentation algorithm using SSE intrinsic and OpenMP parallelization.
Optimization of design and memory architectures.
Involved in Integration of all Computer Vision Algorithm in project setup and engineering activities.
Participated in Demo setup activities at onsite location Lindau, Germany.

Computer visionSSE intrinsicOpenMPAlgorithm optimizationComputer VisionAlgorithm Optimization

Pathpartner technology pvt.ltd.

Senior Software Engineer

Apr 2016 – May 2017 · 1 yr 1 mo · Bangalore, India

Team : Image and Vision
Role : Vision Algorithms optimization and porting on TI's TDA2xx EVE vectore core architecture.

Squid design systems

Senior Video Codec Engineer

Jan 2013 – Apr 2016 · 3 yrs 3 mos · Hyderabad Area, India

Implemented high performance vectorisation(AVX2, AVX, SSE_x) in HEVC encoder and decoder algorithm.
Optimized the transform and quatization algorithm of HEVC encoder.
Implemented the Adaptive GOP structure (RA8, RA4, RA2, IPPP) in HEVC encoder.
Implemented the high precision bit-depth (input pixel depth 10) and 4:2:2 input format support in HEVC encoder and decoder.
Implemented frame level Multi-threading in HEVC encoding process and tuned the system to high performance muti-core process in server platform.
Created dynamic library(DLL) and API of encoder and decoder application on Windows and Linux platform.
Performance analysis, Memory error analysis, System overhead Analysis on Multi-core server.
Manages system testing, quality testing and customer evaluation release process.