Ashrya Agrawal is an undergraduate Computer Science student at BITS Pilani, Pilani Campus. His Research Interests are wide-ranged subtopics in Deep Learning and Machine Learning. Within Deep Learning, he has interest and experience in Computer Vision, Natural Language Processing, and Reinforcement Learning. He is also interested in Fairness in Machine Learning to mitigate racial bias, gender bias, etc.
He works as an undergraduate Research Assistant at Advanced Data Analytics and Parallel Technologies Lab, BITS Pilani. Here, he works on Video Description generation.
During summer and fall of 2020, he worked on tackling practical issues being faced by the industry in mitigating bias in decision support tools. The work led to a research paper and Julia’s first bias audit and mitigation toolkit which solves many practical challenges faced by researchers and practitioners in bias mitigation with existing toolkits.
B.E. (Hons.) Computer Science, 2022
BITS Pilani - Pilani Campus
Worked on NLP of Chatbot to be used by 170k Wipro employees for automatic query answering
Created Friend Affinity Finder which uses social media data to perform NLP analysis.
Recipient of the prestigious KVPY fellowship twice.