Kushal Arora is a PhD candidate and applied ML researcher with 12 years of engineering experience spanning low-level systems, scalable backend services, and language-model research. He has shipped production distributed systems at Amazon and helped build Chatimity’s entire tech stack as an early engineer, while more recently contributing director-style safety models and UI-representation approaches during research internships at Meta and Microsoft with papers at AACL and EMNLP. His work bridges deep learning research and production constraints—examples include distributed CRF and asynchronous gradient schemes for Alexa and practical evaluations of exposure bias for language generation. Now based in Seattle and affiliated with McGill’s Reasoning and Learning Lab, he focuses on compositional language modeling and applying deep learning to knowledge bases. Kushal combines a practitioner’s eye for scalable, high-throughput systems with a researcher’s rigor, and he often surfaces deployment-minded solutions that improve both model behavior and engineering performance.
12 years of coding experience
5 years of employment as a software developer
Master of Science, Computer Engineering, GPA: 3.77, Master of Science, Computer Engineering, GPA: 3.77 at University of Florida
B. Tech, Electronics and Communication Engineering, B. Tech, Electronics and Communication Engineering at Motilal Nehru National Institute Of Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at McGill University
Contributions:1 PR, 141 pushes, 3 branches in 8 years 5 months
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