Sammed Shantinath Kagi
About Sammed Shantinath Kagi
Sammed Shantinath Kagi is a Software Product Engineer specializing in Deep Learning, Machine Learning, and Backend Engineering. He has experience working at Redpine Signals and Multi Commodity Exchange of India Ltd., and currently works at Wadhwani AI while pursuing interests in quantitative research roles.
Work at Wadhwani AI
Sammed Shantinath Kagi has been employed at Wadhwani AI as a Software Product Engineer since 2020. His role involves focusing on software development with an emphasis on deep learning and machine learning technologies. He contributes to projects aimed at leveraging artificial intelligence to address societal challenges. His work is centered in Mumbai, Maharashtra, India.
Previous Experience in Artificial Intelligence
Prior to his current role, Kagi worked at Redpine Signals as an Artificial Intelligence Engineer for a brief period in 2020. His tenure lasted three months and took place in Hyderabad, Telangana, India. This position allowed him to gain practical experience in AI applications within the technology sector.
Internship at Multi Commodity Exchange of India Ltd.
In 2019, Kagi served as a Project Trainee Intern at the Multi Commodity Exchange of India Ltd. His internship lasted for two months in the Mumbai Area, India. This experience provided him with exposure to the financial sector and the application of technology in commodity trading.
Education and Expertise
Sammed Kagi completed his Bachelor of Technology in Computer Science and Engineering at the Indian Institute of Technology Gandhinagar from 2016 to 2020. Prior to this, he achieved an Intermediate degree at Narayana Junior College, studying Mathematics, Physics, and Chemistry from 2014 to 2016. He also attended St. Anthony's High School from 2004 to 2014, where he completed his foundational education.
Interdisciplinary Interests
Kagi has a strong interest in interdisciplinary projects that utilize computing to enhance quality of life. He is particularly focused on roles as a Quantitative Researcher or Analyst, where he can apply his skills in deep learning and machine learning to solve complex problems.