About

Hareesh Nayak is a highly skilled Production and Development Engineer with a passion for machine learning. With over three years of experience in the automobile industry, he has developed a deep understanding of the production process and how to optimize it for maximum efficiency. Hareesh is currently working as a Production Team Lead at Toyota Industries Engine India, where he is responsible for overseeing the production process and ensuring that it runs smoothly. He has a proven track record of success in this role, having implemented several process improvements that have resulted in significant cost reductions and cycle time optimizations. In addition to his production expertise, Hareesh is also a machine learning enthusiast. He is eager to explore opportunities in deep learning and has experience working with Python, machine learning, deep learning, and data analysis. He is always looking for ways to apply his machine learning skills to improve production processes and increase efficiency. Hareesh holds a Bachelor of Engineering degree in Mechanical Engineering from the National Institute of Engineering, which he completed in 2018. He has also completed training in TPS, Six Sigma, 4S, and other process improvement methodologies. With 4.44 years of relevant experience and a strong tech stack that includes ML, deep learning, and Python, Hareesh is a valuable asset to any organization looking to improve their production processes and leverage the power of machine learning. He is a dedicated and hardworking professional who is always looking for ways to grow and learn, and he is eager to take on new challenges in the field of deep learning.