Shaleen Jain is an algorithm developer and computer vision engineer with 10 years of experience building interpretable, production-ready imaging systems that blend classical image processing with modern deep learning. He began his career at Bhabha Atomic Research Centre developing ML-driven data acquisition and image-cleaning tools for radiation-safe experimental facilities, and now drives scalable semiconductor inspection solutions at Applied Materials using OpenCV, PyTorch and CUDA. Known for turning research prototypes into deployable pipelines, he focuses on performance tuning, model evaluation and cross-functional integration to meet industrial throughput and reliability demands. Based in Bengaluru, he brings a rare combination of scientific rigor from nuclear research and practical engineering to commercial AI problems, often favoring hybrid classical-plus-deep approaches for explainability and speed.
10 years of coding experience
Master of Technology - MTech, Computer Science, Master of Technology - MTech, Computer Science at Homi Bhabha Natioanal Institute Knowledge Management Group, Mumbai
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Shri G S Institute of Technology & Science
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Shaleen Jain - Algorithm Developer at Applied Materials India