Akash Kotian
About Akash Kotian
Akash Kotian is a Specialist Software Engineer at Bosch Engineering and Business Solutions, where he has significantly improved image retrieval performance through advanced learning techniques. He holds a Bachelor of Technology in Mechanical Engineering from the National Institute of Technology Karnataka.
Work at Bosch Global Software Technologies
Akash Kotian has been employed at Bosch Engineering and Business Solutions since 2020, currently holding the position of Specialist Software Engineer. His role involves enhancing software solutions and optimizing performance metrics. Prior to this, he served as a Senior Software Engineer from 2018 to 2019 and worked as a Computer-aided Engineering Analyst from 2015 to 2018. His tenure at Bosch has spanned multiple years and various roles, contributing to the development of innovative software applications.
Education and Expertise
Akash Kotian earned his Bachelor of Technology (BTech) in Mechanical Engineering from the National Institute of Technology Karnataka, completing his studies from 2011 to 2015. His educational background provides a strong foundation for his work in software engineering, particularly in the application of engineering principles to software development and performance optimization.
Background
Before joining Bosch, Akash Kotian worked as a Research Assistant at the Indian Institute of Science (IISc) for two months in 2013. His early experience in research contributed to his technical skills and understanding of complex systems. He also held a position as a Computer-aided Engineering Analyst at Bosch Engineering and Business Solutions in 2017 for one month, further solidifying his expertise in engineering analysis.
Achievements in Software Engineering
Akash Kotian has made significant contributions to software engineering through various projects. He increased image retrieval performance by 50% by implementing self-supervised learning techniques. Additionally, he developed a human-in-loop method using contrastive learning, which improved retrieval performance by a factor of 1.2 to 1.3. He also created an interactive 3D visualization tool for deep features utilizing Three.js, showcasing his ability to integrate advanced technologies into practical applications.