Amit Kale

Senior System Software Engineer at NVIDIA

Pune, Maharashtra, India
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Summary

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Amit Kale is a Senior System Software Engineer with over 11 years in industry and more than 9 years focused on image processing and video analytics, currently applying his expertise at NVIDIA in Pune. He has deep hands-on experience across video codecs, embedded platforms and media frameworks (GStreamer, DirectShow) on architectures from x86/x64 to ARM and TI DSPs, and a strong systems programming background in C, Matlab and Python. Amit led video analytics teams and architecture efforts at ViAn and Konnet ViAn, translating research-grade image processing (M.S. from IIT Madras) into deployable solutions for real-time platforms. Known for bridging algorithmic depth with production engineering, he has repeatedly shipped optimized codec ports and analytics pipelines on constrained embedded hardware.
code4 years of coding experience
job9 years of employment as a software developer
bookIndian Institute of Technology Madras
bookB.E., Electronics and Telecommunication, B.E., Electronics and Telecommunication at University of Mumbai
languagesFrench
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Github Skills (11)

jetson10
video-understanding10
deepstream10
language-model8
retrieval-augmented-generation8
computer-vision8
nvidia8
tensorrt8
generative-ai7
ai6
gpu6

Programming languages (1)

C++

Github contributions (3)

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Samples for TensorRT/Deepstream for Tesla & Jetson
Contributions:5 commits, 5 pushes, 1 tag in 11 months
deepstreamjetsontensorrt
NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.
Contributions:20 pushes, 2 branches in 1 month
aigpulanguage-modelnvidiarag
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