Rajeeb Barman is a Principal Member of Technical Staff with over a decade of deep embedded and mobile-platform systems expertise, currently focusing on power profiling for AMD GPUs and CPUs. He has led software architecture and commercialization for multiple flagship handsets and built low-level subsystems—Linux power management, IPC/RPC between dual basebands, device drivers, and AT-command enhancements—across platforms from ARM7 to Cortex-A15/M4. Known for squeezing power and performance at system level, he designed a Cortex-M4 sensor-offload subsystem to enable always-on use cases while offloading the host CPU. He combines strong C/C++ and kernel debugging skills with UML-driven architecture and tooling experience (Enterprise Architect, DOORS), and has contributed to the well-known CodeXL open-source tooling by improving power-profiling backend capabilities. Based in Bengaluru, he brings rare cross-domain depth from physical-layer signal processing to application-layer telephony features, with a track record of shipping commercially successful handsets.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering (BE), Computer Science, Bachelor of Engineering (BE), Computer Science at Jorhat Engineering College, Dibrugarh University
High School Leaving Certificate, High School Leaving Certificate at Krishnai Habraghat High School, Goalpara, Assam
CodeXL is a comprehensive tool suite that enables developers to harness the benefits of CPUs, GPUs and APUs.
Role in this project:
Back-end Developer
Contributions:126 commits, 146 pushes, 4 branches in 1 year 5 months
Contributions summary:Rajeeb primarily contributed to the power profiling backend of the "CodeXL" tool suite, focusing on instrumenting and decoding power-related data. Their commits involved implementing module-level profiling, fixing build issues for x64 architectures, and handling internal counters for features like SVI2 and CState. The user also made changes to the power profiling CLI, refining output reports and enhancing the integration of SMU features.
System performance analysis and characterization tool
Contributions:18 pushes, 5 branches in 22 days
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.