About Me

Hello! I'm Arjun, and I'm a Machine Learning Engineer working on the Large Language Model (LLM) Platform team within Bloomberg's AI group. Currently our work focuses on serving a variety of LLMs at scale to various client applications, as well as incorporating new research and leveraging new technology to improve LLM inference. Prior to this, I worked in the Search group, where I was focused on problems such as intent classification, dense retrieval, and continuous training, among others. I recieved my Masters in Computer Science from Cornell Tech in 2021, and my Bachelor's in Computer Science with an external specialisation in Mathematics from Cornell right before that.

Please explore the rest of my website to learn about my projects and other work! Outside of Computer Science, I have a wide array of interests, from golf to learning languages and experiencing new cultures. I also really enjoy reading, exploring wine and cooking, and all things music.

Select Papers

Memory Efficient Solutions to Large-Graph MST Problems

Arjun Bhalla, Preprint, 2022. [Link]

Exploiting Data Hierarchy as a New Modality for Contrastive Learning

Arjun Bhalla*, Daniel Levenson*, Jan Bernhard*, Preprint, 2021. [Link]

Batch Learning From Bandit Feedback

Lequn Wang, Yiwei Bai, Arjun Bhalla, Thorsten Joachims, ICML, RWSDM Workshop, 2019. [Link]

The Effects of Dropout on Neural Models for Abstractive Headline Generation

A. Bhalla, R. Slama, Y. Sahota, J. Kuang, A. Kompella, CS 6700 (Advanced AI) Final Project, 2018. [Link]

Select Projects

My Dotfiles!

Arjun Bhalla, Personal Interest, 2021/Perpetual. [Link]

VR Office Hours

Arjun Bhalla, Xin Chen, William Zhang, CS 5650 (VR & AR) Final Project, Fall 2020. [Link]

Distributed Thermal Fall Detector

Arjun Bhalla, Benjamin Posnick, CS 5412 (Cloud Computing) Final Project, Spring 2020. [Link]

Full Stack Extractive News Summariser

Arjun Bhalla, Personal Project, 2019. [Link]