Delhi, India
Working on evaluation of fairness and disentanglement in representation learning-driven facial retrieval systems.
Guide - Dr. Ranjitha Prasad, ECE Department, IIITD - Building stable, high fidelity, sample efficient, and adversarially robust Explainable AI(XAI) pipelines for providing locally interpretable model agnostic explanations. - Was awarded the Chanakya Undergraduate Fellowship from the iHub-Anubhuti Foundation for building an XAI module for use in Computer Aided Diagnosis(CAD).
Wrote various peer-reviewed technical articles and tutorials on the GeeksforGeeks website related to Computer Vision, Interpretable AI, Signal Processing, and Data Visualization. Link to Articles: https://auth.geeksforgeeks.org/user/adityasaini70/articles
Organized an onsite programming event, "Darwin Games." The competition required participants to solve problems using a programming language that they had no experience with before. The details of the programming language were given on the spot. The event saw a participation of more than 400 people and had sponsored prizes worth Rs. 30,000.