Shivam Yadav

DevOps Engineer

Noida, Uttar Pradesh, India6 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in C++ and Java with extensive software development experience.
Proven track record in optimizing complex systems for performance.
Strong background in neural network acceleration and memory management.

Stackforce AI infers this person is a Software Development Engineer with expertise in optimization and neural network technologies.

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Skills

Core Skills

C++OptimizationNeural Networks

Other Skills

DebuggingGPU InferenceGitHTMLMemory ManagementMicrosoft ExcelMySQLPower ManagementPython (Programming Language)RAM OptimizationSQL

About

Primary Tech Skills : C++ , Java Secondary Tech Skills : Python , HTML , MySQL Other Skills : Data Structures , Algorithms , OOPS , LLD Version Control : Git , Perforce

Experience

Cadence design systems

2 roles

Lead Software Engineer

Promoted

Jul 2023 – Present · 2 yrs 8 mos · Noida, Uttar Pradesh, India

Software Engineer II

Dec 2021 – Jun 2023 · 1 yr 6 mos · Noida, Uttar Pradesh, India

Samsung r&d institute bangalore

2 roles

Senior Software Engineer

Promoted

Mar 2021 – Nov 2021 · 8 mos · Bengaluru, Karnataka, India

Working on Brisk Engine, for optimization at code, component and design level of RL System ecosystem.
Worked on Intelligent System solution, which is responsible for memory and power management in devices. Optimized several modules at app level to make the code more dynamic and modular.
Fixed Several Kernel Panic issues in the code, which are very critical to debug and resolve.

C++OptimizationMemory ManagementPower ManagementDebugging

Software Engineer

Jul 2019 – Feb 2021 · 1 yr 7 mos · Bengaluru, Karnataka, India

Worked on SNAP (Samsung Neural Acceleration Platform), which accelerates neural network models in order to improve performance and provide the best use of underlying hardware components.
Enhanced GPU inference framework by addition of Operations and kernels in framework covering different model format (Tensorflow, TensorflowLite, Caffe) in SNAP.
Worked on ZLAVD (Zero Lag Application Launch on Virtual Display) solution which helps in reduction of the launch time of frequently used apps by the user by loading them on virtual screen before launch.
Worked on SmartThings application for RAM Optimization using MAT Tool with DDMS perspective.

Neural NetworksGPU InferenceRAM OptimizationOptimization