Roles & Responsibilities
Academic service, teaching experience, and professional contributions
Reviewed research papers for ethical implications and responsible research practices in machine learning and artificial intelligence.
Supporting course instruction and student learning as part of NPTEL Course focusing on scalable algorithms and big data processing methods.
Conducted hands-on tutorial sessions on Graph Neural Networks, providing practical implementation guidance and theoretical understanding to participants. This tutorial is conducted as a part of ACM Summer School: AI for Social Good.
Assisting in foundational data science course instruction, including laboratory sessions, assignment grading, and student mentoring in data analysis techniques.
Conducted ethical review of research submissions, evaluating papers for ethical considerations and responsible AI practices in the machine learning community.
Volunteered at Foundations of Software Technology and Theoretical Computer Science conference, supporting conference organization and attendee assistance.
Reviewed research papers for ethical implications and responsible research practices in machine learning and artificial intelligence.
Supported introductory data science course with laboratory instruction, assignment evaluation, and student guidance in fundamental data science concepts.
Provided volunteer support for machine learning symposium, assisting with event coordination and participant support.
Assisted in advanced mathematics course instruction, focusing on differential equations theory and applications in engineering and science.