Ajesh C. V.

Software Engineer

Bengaluru, Karnataka, India4 yrs 1 mo experience

Highly Stable

Key Highlights

Expert in ML pipelines and performance optimization.
Proficient in CI/CD and DevOps practices.
Strong background in embedded systems and automotive infotainment.

Stackforce AI infers this person is a skilled engineer in Automotive and IoT sectors, specializing in software development and machine learning.

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Skills

Core Skills

Embedded LinuxDevopsC++Python (programming Language)Machine LearningSoftware DevelopmentContinuous IntegrationAutomation TestingIot Development

Other Skills

GitYocto ProjectPyTorchCMakeTeam ManagementAtlassian SuiteQNXLLVMData StructuresAutomotive InfotainmentObject Oriented DesignCode ReviewAgile MethodologiesTensorFlowGitLab

Experience

4 yrs 1 mo

Total Experience

3 yrs 10 mos

Average Tenure

3 mos

Current Experience

Qualcomm

Senior Engineer

Feb 2026 – Present · 3 mos · Bengaluru, Karnataka, India · On-site

GitYocto ProjectEmbedded LinuxDevOps

Mercedes-benz research and development india

4 roles

Graduate Engineer Trainee

Aug 2022 – Jul 2023 · 11 mos

PyTorchCMakeAtlassian SuiteGitData StructuresAutomotive Infotainment+2

Software Engineer

Jul 2022 – Feb 2026 · 3 yrs 7 mos

Designed and maintained production-grade C++ and Python software for performance-critical systems on Linux and QNX.
Built ML inference pipelines using TensorFlow, PyTorch, TensorRT, and Qualcomm Neural Network SDK.
Reduced end-to-end inference latency by up to 25% through profiling, multithreading, and hardware acceleration.
Developed Python tools for model deployment, evaluation, and debugging, reducing development effort by 15%.
Owned CI/CD pipelines using GitLab, Jenkins, Docker, and gtest, reducing integration issues by 40%.
Participated in system design discussions, code reviews, and debugging of complex software issues.

PyTorchCMakeTeam ManagementAtlassian SuiteGitQNX+10