About

Hari Suresh is a highly skilled Machine Learning Engineer with 4.44 years of relevant experience. Currently, he is employed at EEGRAB as a Machine Learning Engineer where he works on developing and implementing machine learning models for various projects. He has a strong background in software engineering, which enables him to develop efficient and scalable machine learning models. Prior to joining EEGRAB, Hari worked as an Embedded Software Engineer at Dosepack LLC. During his tenure, he was responsible for designing and developing embedded software for various medical devices. He was also involved in testing and debugging the software to ensure its accuracy and reliability. Hari holds a Bachelor of Technology degree in Mechatronics, Robotics, and Automation Engineering from Lovely Professional University. He graduated in 2018 with a strong academic record and a deep understanding of the fundamentals of engineering. During his academic career, he worked on several projects related to robotics and automation, which helped him develop a keen interest in the field of machine learning. Hari's technical skills include expertise in machine learning and software engineering. He is proficient in various programming languages such as Python, Java, and C++. He has experience in working with popular machine learning frameworks such as TensorFlow, Keras, and Scikit-learn. He is also familiar with various software development tools such as Git, JIRA, and Jenkins. Overall, Hari is a highly motivated and skilled Machine Learning Engineer with a passion for developing innovative solutions. He has a proven track record of delivering high-quality work and is always eager to learn and grow in his field.