Mahesh Balasubramanian
Senior Machine Learning Engineer - Qualcomm Corporate R&D
San Diego, California, United States
Summary
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Senior🎓
Top SchoolMahesh Balasubramanian is a Senior Machine Learning Engineer at Qualcomm Corporate R&D with a PhD in computer engineering and a decade of experience designing AI accelerators, compilers, and performance modeling for embedded, mobile, automotive, and data-center workloads. He blends deep computer-architecture expertise with practical compiler and tooling skills—having built LLVM/gem5 frameworks, a C++ resource-mapping scheduler, and a Python pre-silicon workload analysis tool used to expose scheduling and memory strategies. His work focuses on optimizing transformer inference on custom accelerators, profiling bottlenecks, and architecting kernel- and compiler-level fixes to boost inference throughput. Prior research at ASU and Berkeley Lab produced open-source frameworks for CGRA acceleration and scalable VAR/LASSO methods on up to 200,000 KNL cores, reflecting a rare mix of large-scale systems and low-level hardware-software co-design. Based in San Diego, he pairs a research mindset with pragmatic engineering to move innovations from simulation and pre-silicon analysis to deployable accelerator toolchains.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Engineering, 3.85, Doctor of Philosophy (PhD), Computer Engineering, 3.85 at Arizona State UniversityUniversity of Texas at San AntonioAnna University, Chennai
French, English, Hindi, Tamil
Github Skills (3)
python1
simd1
concurrent1
Github contributions (5)
mbalasu2/bolbo
May 2016 - Jun 2016
Contributions:37 pushes, 1 branch in 1 day
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