Magic Leap
Experienced computer vision engineer working on implementing of computer vision / deep learning solutions on resource-constrained devices/hardware. Over the course of my career, I have developed and optimized state-of-the-art performance-critical perception systems and contributed to the development of high-performance machine learning models. My experience includes quantizing, optimizing, and tuning performance of Deep Learning models on DSP, evaluating embedded Deep Learning algorithms for performance and accuracy, and collaborating with a team to analyze and optimize a growing C/C++ codebase. In my current role as a Senior Computer Vision Engineer at Magic Leap, I have developed a strong track record of success in publishing, developing and optimizing algorithms in the fields of image processing, deep learning and computer vision . I have experience in developing performance standards for algorithms and driving best practices for performance, maintainability, and correctness. Additionally, I have experience in integrating and developing necessary tooling and automation, such as profiling, testing, and monitoring tools. My major interests are in the field of Computer Vision, Deep learning, Image/Video processing, Digital Signal Processing and Embedded Systems. Google scholar page: https://scholar.google.com/citations?user=p5Ga9j4AAAAJ&hl=en&oi=ao