Akhil Nadigatla

Akhil Nadigatla is a senior at Carnegie Mellon University majoring in computer science with a concentration in machine learning and a minor in philosophy. He is passionate about exploring questions related to machine learning robustness and optimization techniques.

During his academic journey, Akhil has been actively involved as a Teaching Assistant at Carnegie Mellon University School of Computer Science. He has also gained practical experience as a Software Engineer Intern at Splunk.

Akhil Nadigatla has a diverse background, having served as a Student Lead at Carnegie Mellon University School of Computer Science and held leadership positions in organizations like the East Africa Model United Nations. He has also contributed to research as a Research Intern at the World Agroforestry Centre (ICRAF).

Akhil's interests extend beyond his academic and professional pursuits; he is intrigued by the potential applications of machine learning in domains like education and healthcare, as well as the impact of such technologies in developing countries.