I'm Aniruddha.
passionate life-long learner | happy-go-lucky academic

I'm a Senior (4th year) at KIIT University where I'm working towards a BTech in CS. I'm also simultaneously pursuing a BSc at IIT Madras in Data Science and Programming.

My research spans multiple domains at the intersection of systems, machine learning, vision, and healthcare, and I am deeply passionate about making a positive social impact on our civilization.

I am currently a Pre-Doctoral Scholar at the Indian Institute of Science (IISc), advised by Dr. Yogesh Simmhan and Dr. Gugan Thoppe. My work focuses on scaling blockchain systems for enterprise settings (e.g., NPCI, IBM), with a particular emphasis on financial applications. Concurrently, I am working with Prasoon Patidar at CMU on a robust data-attribution algorithm for classrooms, which assigns persistent student IDs that remain stable even under occlusions or sudden movements.

Driven by my interest in the impact of AI on healthcare, I'm also pursuing a research project at the LiGHT Lab at EPFL, supervised by Dr. Annie Hartley, where I'm conducting a retrospective analysis of the effectiveness and applicability of LLMs using data from primary healthcare centers in Rwanda and Tanzania.

Previously, I interned at Tata Consultancy Services (TCS) Research under Dr. Gautam Shroff, developing ensemble methods for intra-day trading in Indian equities. Before that, I worked with Asvin Kumar at the Laboratory for Image & Video Engineering (LIVE), UT Austin, under Dr. Alan Bovik, on reliable classification of diffusion-generated images. Earlier, at the IoT Lab, BITS Pilani with Dr. Vinay Chamola, I built a pipeline to detect, caption, and rank anomalous events (e.g., robbery, arson) from CCTV feeds.

In parallel, I collaborated with Dr. Somdyuti Paul at IIT Kharagpur on modeling the perceptual realness of generative images, combining human studies with statistical modeling of participant ratings.

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I enjoy applying my skills to problems that can translate to measurable improvements in the lives of everyday people. Human Computer Interaction, Human Robot Interaction and AI-in-Healthcare are domains that excite me. I believe a lot is going to change in the next decade in these fields.