About

Naren Dhyani is a highly skilled and experienced software engineer with a strong background in machine learning and computer engineering. He is currently working at Amazon as a software engineer, where he is responsible for developing and deploying production-level machine learning systems. Naren is also pursuing a Master of Science degree in Computer Engineering from New York University, where he works as a graduate research assistant with a focus on high-performance machine learning systems. Throughout his career, Naren has demonstrated his expertise in deploying production-level ML systems, creating ML pipelines to solve business problems, and prototyping using MATLAB and Python (Numpy, Pandas). He is well-versed in a range of technologies, including Pytorch, Tensorflow, AWS SageMaker, sklearn, keras, and cuDNN. Prior to joining Amazon, Naren worked as a graduate research assistant at New York University, where he developed full-stack solutions for the LEARN analytics lab. He also served as a graduate teaching assistant for the undergraduate Introduction to Embedded systems course at NYU. Naren holds a Bachelor of Technology degree in Computer Engineering from the prestigious Indian Institute of Technology, Bombay. He is a highly skilled researcher, software engineer, and machine learning expert with a wealth of experience in AWS, Keras, Sagemaker, Scikit, Python, Tensorflow, Pandas, and Pytorch. With 3.69 years of relevant experience, Naren is a highly motivated and dedicated professional with a passion for innovation and problem-solving. He is committed to advancing the field of machine learning and computer engineering through his work at Amazon and his research at NYU.