I am a Senior Engineer - Machine Learning at Qualcomm, where I work with the Snapdragon Neural Processing Engine SDK, a software framework that enables the execution of deep neural networks on mobile devices. I am passionate about developing and optimizing AI systems that can leverage the performance of Qualcomm's hardware platforms.

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I have worked with MLIR - Compiler related projects. And have experience with OpenCL & CUDA

I have completed a course work in Quantum Computing at Indian Institute of Technology, Madras, one of the premier institutions in India. I am interested in exploring the applications and implications of quantum computing for machine learning and artificial intelligence.

 

I have a strong background in deep learning, machine learning algorithms, large language models, graph algorithms, and polyhedral analysis, which I acquired through my previous roles as a

Senior AI Engineer and an AI Software Engineer at AlphaICs Corporation, a startup that develops AI accelerators. There, I worked on various aspects of the AlphaNE-SDK, such as feature addition, deployment, integration, debugging, and testing. I also have multiple certifications in computer applications, robotics, and TensorFlow.

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Previous to this role - I was a machine learning intern at Multicoreware where I contributed to pose-estimation model development like HRNet, OpenPose inspired neural networks and video-based action recognition applications.