Anurag Dubey
Member Of Technical Staff Software Development at AMD
Boulder, Colorado, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolAnurag Dubey is a seasoned software engineer with 13 years of experience building high-performance embedded and back-end systems, currently a Member of Technical Staff at AMD in Cambridge after roles in Colorado and at Xilinx. He brings deep expertise in FPGA/AIE runtimes and performance monitoring—contributing to Xilinx/XRT by improving tracing, performance counters, and profiling for platform-level diagnostics. Trained with an M.S. in Electrical and Computer Engineering from the University of Colorado Boulder, he blends hardware-aware software engineering with practical research experience from academia. His career shows a steady focus on low-level systems, timing accuracy, and observability, plus hands-on work in developer operations earlier in his career. Colleagues rely on him to translate difficult performance problems into robust user-space APIs and tooling that make complex hardware behavior measurable and debuggable.
14 years of coding experience
11 years of employment as a software developer
Kendriya Vidyalaya SangathanMaster's degree Electrical and Computer Engineering, Master's degree Electrical and Computer Engineering at University of Colorado BoulderBachelor of Engineering (BE) Electrical Electronics and Communications Engineering, Bachelor of Engineering (BE) Electrical Electronics and Communications Engineering at BIT Mesra
English, Hindi
Github Skills (22)
directmemory10
performance-monitor10
performance-analytics10
c-language10
xilinx10
code-profiling10
python10
dma10
c-programming10
performance-analysis10
profiling10
performance-monitoring10
cprogramming-language10
system-programming9
cffi9
Programming languages (5)
Github contributions (5)
Xilinx/XRT
Jun 2018 - Oct 2022
Run Time for AIE and FPGA based platforms
Role in this project:
Back-end Developer
Back-end DeveloperContributions:107 reviews, 160 commits, 166 PRs in 4 years 4 months
Contributions summary:Anurag's commits primarily focused on enhancing the performance monitoring and tracing capabilities of the Xilinx Run Time (XRT) library. They addressed issues related to the collection and reporting of performance counters, added support for streaming platform profiling, and improved the accuracy of timing information. The contributions involved changes to the code related to performance monitoring, trace parsing, and user-space API logging.
fpgaxrtlinux-kernelvitisaie
hackwa/XRT
Oct 2018 - Feb 2025
Xilinx Run Time for FPGA
Contributions:487 pushes, 292 branches in 6 years 5 months
fpgaxilinx
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.