Rajiv Kumar

I am an ML Engineer specializing in deep learning, computer vision, and NLP with experience across healthcare imaging, semiconductor manufacturing, and large-scale classification systems. At Applied Materials, I improved defect-recommendation accuracy from 67% to 87%, built BPE-based domain tokenizers, and developed real-time chamber monitoring using object detection with over 98% precision. My work also spans multi-class medical image segmentation, GAN-based domain adaptation, and integrated pipelines for mitosis detection. Previously at Jio, I built automated KYC onboarding solutions using classical ML and deep learning. I enjoy solving high-impact problems across vision, text, and multimodal systems.