About Me

Hello! I'm Arjun, and I'm a Machine Learning Engineer working at Hinge , where we focus on improving the user experience, reducing churn, and improving paid experiences. Previously, I worked in Bloomberg's AI group. My more recent work focused on serving LLMs at scale as well as incorporating novel research to improve LLM inference efficiency. 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 - I really enjoy golf, basketball, reading, exploring wine and cooking, and all things music.

Select Papers

Intent Classification on Low-Resource Languages with Query Similarity Search

Arjun Bhalla, Qi Huang, Preprint, 2025. [Link]

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]

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]