Jehandad K
Senior Software Engineering Manager at AMD
Austin, Texas, United States
Summary
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Rockstar🎓
Top SchoolJehandad K is a Senior Software Engineering Manager at AMD with 11 years of experience building high-performance ML software and leading teams in the Radeon Technology Group. He combines a PhD in Computer Engineering with hands-on work on ROCm/MIOpen—contributing fusion plan data structures, operator arguments, and kernel cache APIs—and CI/DevOps improvements for composable_kernel, demonstrating both deep algorithmic knowledge and production engineering discipline. Based in Austin, he has progressed from senior engineer to manager and now senior manager, balancing technical ownership with delivery and team enablement. Notably, his contributions span low-level ML kernels and build/test infrastructure, reflecting a rare blend of performance optimization and robust CI/CD practice.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Computer Engineering, Doctor of Philosophy - PhD Computer Engineering at Virginia TechBachelor of Engineering Electrical Engineering, Bachelor of Engineering Electrical Engineering at National University of Sciences and Technology (NUST)Master's degree Electrical and Electronics Engineering, Master's degree Electrical and Electronics Engineering at Rowan University
Stackoverflow
434reputation
146kreached
8answers
5questions
Github Skills (22)
docker10
c-language10
apidoc10
dockers10
data-structure10
cicd10
roc10
api10
build-automation10
data-structures10
jenkins10
jenkins-ci10
cprogramming-language10
cmake9
memory-management9
Programming languages (7)
Github contributions (5)
ROCm/MIOpen
Jun 2018 - Jan 2023
AMD's Machine Intelligence Library
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 releases, 743 reviews, 593 commits in 4 years 8 months
Contributions summary:Jehandad's commits focus on developing data structures and arguments for fusion plans and operators. This involves modifying and adding new function definitions, including those for handling the creation and destruction of fusion plans. The code changes also introduce updates for activation modes and setting arguments. Additionally, the user worked on establishing new API functions for the kernel cache.
amdcluster-computingmachine-learningblasmachine-intelligence
ROCm/composable_kernel
Feb 2022 - Sep 2022
Composable Kernel: Performance Portable Programming Model for Machine Learning Tensor Operators
Role in this project:DevOps Engineer
DevOps EngineerContributions:31 reviews, 45 commits, 8 PRs in 7 months
Contributions summary:Jehandad primarily focused on setting up and improving the continuous integration (CI) pipeline for the repository. Their contributions included adding a Dockerfile and Jenkinsfile, integrating code quality checks (cppcheck), and configuring a profiling build stage. They also addressed issues related to package stages, corrected variable names in the Jenkinsfile, and updated the build configuration to use release builds. Furthermore, the user made improvements to the CI/CD workflow for testing.
kerneldeep-learningprogramming-modelmachine-learningtensor-learning
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