About

Gaurav Joshi is a highly passionate engineer with over 7 years of experience in software development. He holds a Masters degree in Computer Science and is always seeking new challenges in the software development, machine learning, and deep learning space. Gaurav is well-versed in the software development life cycle and has hands-on experience in C & C++, Python, and SQL. He is also comfortable with software development in Unix and Windows environments. Currently employed at VMware as a C & C++ Software Developer, Gaurav is involved in the end-to-end software development of desktop hypervisor products Fusion and Workstation. He has expertise in system software development in C/C++ and is well-versed in multithreading on Linux. Gaurav is also familiar with machine learning software stacks such as TensorFlow, Caffe, Glow, and ONNX, and has expertise in ONNX Network surgery. Prior to his current role, Gaurav worked at Cadence Design Systems as a Lead Design Engineer, where he implemented different DNN/CNN models and optimized their performance for Tensilica Vision Processors using Xtensa SIMD platform in C/C++. He also implemented TensorFlow/Caffe2/pytorch Ops as Custom Ops and ported those to support on XNNC 1.x/2.x running on Glow. Gaurav has also implemented Custom Ops to support EndToEnd MTCNN (all subnets), MaskRCNN (with FPN backbone), and Yolov2-v3-v4 versions on both XNNC Analyzer and Xtensa DSP Side in floating and fixed point. He is an expert in ONNX Network surgery and has implemented Python scripts to minimize user's manual efforts in end-to-end network execution and output post-processing. Gaurav also worked as a Software Engineer at Nvidia, where he performed power profiling for different families of GPUs and developed and maintained APMS software (C/C++) and JavaScript-based internal portal, other tools (Tcl based), and infrastructure relevant to the power profiling activity. Gaurav's technical expertise includes software engineering, CNN, ML, SQL, TensorFlow, deep learning, Objective-c, Python, C, neural networks, Pytorch, Javascript, infra, and Golang. He is a highly motivated individual who is always learning new technical aspects and exploring new challenges in the field of software development and machine learning.