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.
4 years of coding experience
9 years of employment as a software developer
Indian Institute of Technology Madras
B.E., Electronics and Telecommunication, B.E., Electronics and Telecommunication at University of Mumbai
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
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.