Kiriti Gowda is a seasoned software development engineer with 10 years of experience, currently working at AMD within a Machine Learning Computer Vision research group. He combines advanced academic training—a Ph.D. in Electrical and Computer Engineering—with hands-on expertise in embedded systems, GPU computing, and high-performance computing to deliver production-grade software for compute-intensive workloads. At AMD he bridges research and engineering, translating ML vision algorithms into optimized implementations for modern GPU architectures. Based in California, he brings a strong hardware-software perspective that helps accelerate model inference on edge and data-center platforms. An inclination toward both low-level optimization and system-level design makes him effective at tackling bottlenecks others often overlook.
10 years of coding experience
PU, PCME, PU, PCME at Christ College - Bangalore
BE, Electronics and Communication, BE, Electronics and Communication at Visvesvaraya Technological University
MS, Electrical and Computer Engineering, MS, Electrical and Computer Engineering at Southern Illinois University, Carbondale
ICSC, ICSC at Bishop Cotton Boys School - Bangalore
Tools to convert Caffe / NNEF / ONNX pre-trained neural net models to an OpenVX Graph
Contributions:14 commits, 3 PRs, 16 pushes in 1 year 3 months
pytorchopenvxdeep-learningpre-trainedtorch
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Kiriti Gowda - SMTS Software Development Engineer at AMD