Mahesh Khadatare is a GPU-focused software engineer with over a decade of experience building high-performance imaging and signal-processing systems, currently a Senior CUDA Math Library Engineer at NVIDIA based in California. He has a strong track record of accelerating scientific and medical workflows—implementing denoising, blob detection, JPEG-LS, and real-time imaging pipelines with up to 100x speedups on GPUs and demonstrated real-time performance on consumer and embedded platforms. His background spans embedded, telecom, and healthcare domains (GE Healthcare, Roche, Verizon), combining deep DSP and CUDA expertise with practical deployment on devices from GTX 1080 to Jetson TX2. Mahesh holds an M.Tech in DSP from IIT Guwahati and is notable for translating MATLAB prototypes into production GPU code and building toolchains and camera adapters that bridge hardware and research software. He blends algorithmic rigor with systems-level optimization, making him adept at squeezing maximum performance from modern GPU architectures.
3 years of coding experience
16 years of employment as a software developer
Bachelor of Engineering (B.E.), Electronics & Telecommunication Engineering, A, Bachelor of Engineering (B.E.), Electronics & Telecommunication Engineering, A at College of Engineering Pune
Master of Technology (M.Tech.), DSP, A, Master of Technology (M.Tech.), DSP, A at Indian Institute of Technology, Guwahati
HSC, Maths, Physics, Chemistry, Biology, A, HSC, Maths, Physics, Chemistry, Biology, A at Modern Science College Pune
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