Dwith Chenna is a research and development professional with a strong focus on algorithm development and optimization in the fields of computer vision, deep learning and human computer interaction. He has extensive experience in developing state-of-the-art, performance-critical perception systems, and a deep understanding of the complexities involved in developing and optimizing deep learning models on resource-constrained hardware, such as digital signal processors. Dwith’s responsibilities include evaluating embedded algorithms for performance and accuracy, and driving key performance metrics such as latency, memory, bandwidth and power consumption—often through integration and development of tooling and automation. He is also responsible for quantizing, optimizing and tuning the performance of deep learning models.