Chinthan P
About Chinthan P
Chinthan P is a Machine Learning Engineer at Bungee Tech in Chennai, Tamil Nadu, India, where he has worked since 2023. He has a background in Mechanical Engineering from Vellore Institute of Technology and has held various roles in technology and management.
Work at Bungee Tech
Chinthan P has been employed as a Machine Learning Engineer at Bungee Tech since 2023. He is based in Chennai, Tamil Nadu, India. In this role, he focuses on developing and implementing machine learning algorithms and models to enhance the company's technological capabilities.
Education and Expertise
Chinthan P earned a Bachelor's degree in Mechanical Engineering from Vellore Institute of Technology, where he studied from 2019 to 2023. He also completed his secondary education at National Public School, specializing in Computer Science from 2007 to 2019. His educational background provides a strong foundation in both engineering principles and computer science.
Professional Experience
Prior to his current position, Chinthan P held several roles that contributed to his expertise in machine learning. He served as a Machine Learning Intern at Ideas2IT Technologies for three months in 2022. He also worked as an Undergraduate Student Researcher at Vellore Institute of Technology for one month in 2022. Additionally, he was a member of the Management Board at the Fraternity of Young Innovators from 2020 to 2022 and participated in the programming team at AUVSI during the same period.
Projects and Interests
Chinthan P participated in a project focused on exploring new technologies, particularly data-oriented computers, during his spare time. This involvement reflects his commitment to staying updated with advancements in technology. Outside of his professional endeavors, he enjoys photography and exploring new locations, which contribute to his creative and exploratory interests.
Networking and Industry Engagement
Chinthan P has a keen interest in establishing new relationships and networking within the industry. This focus on professional networking is essential for collaboration and knowledge sharing in the rapidly evolving field of machine learning and technology.