Jayant Ingale — Software Engineer

Experience of more than 15 years in embedded software and firmware development, ML Inference Acceleration, Computer Vision, Mobile Camera ISP, Computational Photography, Image Processing, and Video Codecs. Embedded Software and Firmware Development * C and C++ for embedded software and firmware development. * Python for scripting and deep learning model development/training. * ARM architecture(32 bit and 64 bit) and ARM toolchain. * Qualcomm‘s Hexagon and Texas Instruments‘ C64x DSPs. * Qualcomm‘s Neural Processing Unit/Tensor Accelerator and Neural Signal Processor/Tensor Processor. * SIMD optimization with compiler intrinsics on ARM (Neon) and DSPs. * Image processing algorithm implementation on heterogenous computing platforms. * Use-case performance, power and bandwidth optimization. * Firmware and low level driver development with RTOS for ML, Imaging and Video hardware accelerators. AI/ML and ML Acceleration * Deep Neural Network (DNN) architectures like CNN, GAN, RNN, LSTM etc. * Tensorflow, TFLite, Keras and Pytorch to develop, train and test DNN models. * DNN Model quantization, optimization and compression techniques. * Efficient DNN model deployment on ML accelerators. Mobile Camera Image Processing * Computational Photography, Image Processing, Camera ISP pipeline and Camera use-case flows. * Classical and Deep Neural Network based Computer Vision algorithms. * OpenCV for image processing and computer vision algorithm development and prototyping. * OpenCL and Halide for accelerating image processing algorithms on GPUs and DSPs. Mobile Video Processing * Video Compression standards - H.264, HEVC, MPEG-2, MPEG-4, VC-1, VP8. * Motion Estimation, Macroblock Mode Decision and Rate Control algorithms.

Stackforce AI infers this person is a highly skilled engineer in embedded systems and AI/ML for multimedia applications.

Location: Bengaluru, Karnataka, India

Experience: 19 yrs 11 mos