Rajesh Tamada is a Senior Staff AI Scientist with over a decade of hands-on experience applying deep learning to medical imaging, specializing in PET/CT reconstruction, 2D/3D visualization, and organ segmentation. He has driven measurable product impact at GE HealthCare—reducing CT calibration acquisition by 70%, improving reconstruction performance via OpenCL backprojection optimizations, and leading changes for new PET crystal geometries to preserve image quality. Rajesh holds multiple patents on model compression, data-variety robustness, and DL-based super-resolution that generalizes across CT kernels, and co-authored a Medical Physics paper on weak annotation methods. He’s been instrumental in productization efforts including 510(k) submissions and a deployed chest X‑ray classifier integrated into hospital workflow. Equally comfortable in low-level host architecture and high-level model design, he maintains a medical imaging library used across 20+ visualization apps. Based in Bengaluru, he blends research rigor with production-grade engineering and a track record of translating academic ideas into regulatory-ready medical products.
11 years of coding experience
11 years of employment as a software developer
Master's degree Computer and Information Sciences and Support Services, Master's degree Computer and Information Sciences and Support Services at iiit bangalore
Bachelor's degree Information Technology, Bachelor's degree Information Technology at gayatri vidya parishad college of engg
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