Yaajnu Subramanian
About Yaajnu Subramanian
Yaajnu Subramanian is a Machine Learning Engineer with a Bachelor of Science in Physics from Shiv Nadar University. He has experience in research and internships at various prestigious institutions, including Shiv Nadar University and the Indian Institute of Technology, Madras.
Current Role at Mechademy Incorporated
Yaajnu Subramanian currently serves as a Machine Learning Engineer at Mechademy Incorporated. He has held this position since 2021 and is based in Delhi, India. In his role, he applies machine learning techniques to various projects, contributing to the company's technological advancements and innovations.
Previous Experience at Mechademy Incorporated
Prior to his current role, Yaajnu Subramanian worked as a Machine Learning Intern at Mechademy Incorporated from 2020 to 2021. During this six-month internship, he gained practical experience in machine learning applications and contributed to ongoing projects within the organization.
Educational Background in Physics
Yaajnu Subramanian studied at Shiv Nadar University, where he earned a Bachelor of Science (BS) degree in Physics from 2017 to 2021. His education provided him with a strong foundation in scientific principles and analytical skills, which he applies in his current work in machine learning.
Research Experience at Shiv Nadar University
Yaajnu Subramanian was involved in research at Shiv Nadar University, where he served as an Undergraduate Researcher from 2019 to 2020 for nine months. He also completed his Bachelor Thesis at the same institution from 2020 to 2021, which lasted for eight months. These experiences enhanced his research skills and understanding of complex scientific concepts.
Internship Experience at Indian Institute of Technology, Madras
In 2019, Yaajnu Subramanian completed a Summer Research Internship at the Indian Institute of Technology, Madras, for one month. This internship provided him with exposure to advanced research methodologies and further developed his expertise in the field of physics and machine learning.