Umesh Pandey serves as a Senior Principal Engineer at Cadence Design Systems, where he leverages over 14 years of extensive experience in digital signal processing (DSP), video compression, and embedded systems. His expertise spans a wide array of technologies, including video codecs such as H.264,...
Umesh Pandey serves as a Senior Principal Engineer at Cadence Design Systems, where he leverages over 14 years of extensive experience in digital signal processing (DSP), video compression, and embedded systems. His expertise spans a wide array of technologies, including video codecs such as H.264, multi-threaded DSP, and fixed-point arithmetic, making him a pivotal contributor to the development of cutting-edge solutions in the realm of video processing and computer architecture.
At Cadence, Umesh is currently engaged in key projects that focus on the implementation of advanced video compression techniques and the optimization of machine learning algorithms on edge devices. His proficiency in NEON assembly and Linux/QNX kernel drivers allows him to develop robust and efficient software solutions that enhance the performance of multimedia applications. Umesh's work with TensorFlow and PyTorch further underscores his commitment to integrating deep learning networks into Tensilica IP, enabling on-device AI capabilities that are crucial for modern embedded systems.
Umesh's skill set is complemented by his strong background in image processing and algorithms, which he applies to solve complex challenges in real-time video streaming and processing. His ability to debug intricate systems and implement algorithms in Embedded C and Python ensures that he consistently delivers high-quality, reliable solutions. As he continues to push the boundaries of what is possible in video technology, Umesh remains a key player in driving innovation at Cadence Design Systems, contributing to the evolution of multimedia processing and AI integration in embedded platforms.
