About

Jayanth Ramesh is a highly skilled Software Engineer with expertise in Machine Learning. He is currently working at Google in the capacity of a Software Engineer - Machine Learning. Jayanth has over 6 years of relevant experience in the field of Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. Jayanth obtained his Master's degree in Electrical and Electronics Engineering from Stanford University in 2017. He also holds a Bachelor of Technology (BTech) in Electrical Engineering from the Indian Institute of Technology, Madras, which he completed in 2011. Prior to that, he completed his schooling from Kendriya Vidyalaya, where he excelled academically. Jayanth has worked with some of the leading companies in the industry. Before joining Google, he worked with Oracle as a Research Engineer - Machine Learning. At Oracle, he was responsible for applying Machine Learning, Computer Vision, Deep Learning, and Natural Language Processing solutions to create better products and tools for various groups within the company. Jayanth has also worked as a Course Assistant at Stanford University, where he was responsible for conducting recitation sections, grading assignments and projects, and holding office hours for the course CS273B: Deep Learning for Genomics and Biomedicine. Jayanth has a strong technical background and is proficient in various technologies such as ML, Software Engineering, Research Science, Deep Learning, Computer Vision, and NLP. He is a highly motivated individual with excellent problem-solving skills and a passion for innovation. Overall, Jayanth Ramesh is a talented Software Engineer with a wealth of experience in Machine Learning. He is a valuable asset to any organization and is committed to delivering high-quality results.