Anirud (Ani) Aggarwal

I'm an undergraduate studying Computer Science and Mathematics at the University of Maryland, College Park. I'm part of Abhinav Shrivastava’s lab, where I've just released my first paper 🎉. I'm interested in pursuing a PhD and exploring research internships.

I'm currently applying to PhD programs in Computer Science (Computer Vision & Deep Learning). Super open to research opportunities—faculty, collaborators, and anyone else please email me!

Previously, I interned at Amazon AWS EC2 Nitro, building tools for detecting server issues across millions of machines, and at Anello Photonics, working on data compression pipelines and automated photonic gyroscopes testing. I've also explored real-time ML applications in surgical wearables and helped build autonomous drones.

My interests include computer vision, robotics, and deep learning. Outside of research, I love reading sci-fi and fantasy novels (favorites include Dune and The Way of Kings) or training in Brazilian Jiu-Jitsu, Muay Thai, and MMA.

Note: This website is still under construction.

Email /  aggarwal.anirud@gmail.com
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Research

Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion Model

We introduce ECAD, an evolutionary algorithm to automatically discover efficient caching schedules for accelerating diffusion-based image generation models. ECAD achieves faster than state-of-the-art speed and higher quality among training-free methods and generalizes across models and resolutions.

Design and source code from Jon Barron's website and Leonid Keselman's website.