About
I am a final-year B.Tech student in Computer Science and Engineering, specializing in Artificial Intelligence and Machine Learning at Graphic Era (Deemed to be University), Dehradun, graduating in 2027.
My interests lie at the intersection of machine learning systems and efficient AI, with a particular focus on large language models, model compression and making modern AI models more efficient to train and deploy.
Research
I am particularly interested in understanding how the computational and memory costs of modern neural networks can be reduced without sacrificing their capabilities.
My current research explores efficient inference for large language models, including KV-cache compression, attention mechanisms, memory-efficient model execution, and techniques for improving the efficiency of large-scale neural networks.
I am also interested in model compression, including pruning and quantization, as well as efficient deep learning for resource-constrained environments.
Outside research
I enjoy building systems, participating in ML competitions and hackathons, and experimenting with models on both constrained hardware and large-scale GPU infrastructure.
I am especially interested in the space between ML research and systems engineering, with a focus on not only developing an idea but also understanding how it can be implemented efficiently.
