About Me:

UPDATES

14-12-2024 I will be presenting a tutorial on distributed GNN training at CODS-COMAD’24 on 18th DecemberTutorial Website

01-07-2024 I have joined Microsoft Research India as a Research Fellow.

04-11-2023 My first paper accepted at ICDM’23 Arxiv IEEE

I am a young researcher and engineer with keen interest in development of ML Systems. Currently I am working at Microsoft Research India as a Research Fellow as a part of the AI Infra team. Our current focus is on making LLM inference more efficient.

My previous work was on distributed training of graph neural networks, developing better partitioning schemes of graph datasets that yield better accuracy through distributed training. Class imbalance is a prevalent problem graph datasets and needs to be handled to achieve better accuracies. This work focused on researching loss functions and sampling techniques that mitigate class imabalance and achieve better macro-F1 scores. We were able to bring some speed up in training and improve the macro and micro-F1 scores. The work was accepted at ICDM’23.

Before joining MSR I worked as a SDE at Publicis Sapient. My work there focused building efficient and accessible frontends. I won an award for Learning Mindset during our annual client townhall.