Manav Rajiv Moorthy
About Manav Rajiv Moorthy
Manav Rajiv Moorthy is a Machine Learning Engineer currently working at Mad Street Den in Redwood City, California. He has a background in computer science and has held various research and internship positions at notable institutions in India and the United States.
Work at Mad Street Den
Manav Rajiv Moorthy has been employed as a Machine Learning Engineer at Mad Street Den since 2019. His role involves developing and implementing machine learning models to enhance the company's AI-driven solutions. Mad Street Den focuses on providing AI technology for various industries, and Moorthy's contributions are integral to advancing their machine learning capabilities.
Previous Experience at Solarillion Foundation
Prior to his current position, Moorthy worked as an Undergraduate Research Assistant at Solarillion Foundation from 2017 to 2019. Based in Chennai, Tamil Nadu, India, he contributed to research projects aimed at sustainable energy solutions. His experience at Solarillion Foundation provided him with foundational skills in research and development in the renewable energy sector.
Research Experience at Colorado School of Mines
In 2018, Moorthy served as an Undergraduate Research Fellow at the Colorado School of Mines for a duration of two months. This role allowed him to engage in research activities in a collaborative academic environment, furthering his understanding of engineering principles and research methodologies.
Internship at Indian Institute of Technology, Madras
Moorthy completed multiple internships at the Indian Institute of Technology, Madras. He worked as a Summer Intern in 2017 for two months and as a Research Intern from 2017 to 2019 for two years. These experiences provided him with practical exposure to research projects and enhanced his technical skills in computer science and engineering.
Education in Computer Science
Moorthy obtained his Bachelor of Engineering degree in Computer Science from Ssn College of Engineering, where he studied from 2015 to 2019. His education laid the groundwork for his career in machine learning and research, equipping him with essential knowledge and skills in computer science.