Arjun Subramonian

New York, New York, United States
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Summary

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Rockstar
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Top School
Arjun Subramonian is an inclusive Graph ML and NLP researcher and PhD candidate at UCLA with about 10 years of experience building ML systems, fairness tooling, and production features. He bridges research and engineering—contributing to the widely used AllenNLP library (including a fairness library, bias mitigation methods, and ports for transformer schedulers) and interning at Meta FAIR, Microsoft FATE, Snap, and AI2 on problems spanning graph expressivity, NLP conceptualization, privacy, and safety. His applied work ranges from shipping harassment-reporting features and routing optimizations in production to developing in-house deep models for behavior analysis. Less obvious is that he designed a neural network for rapid antimicrobial susceptibility testing that achieved FDA-essential agreement, and he co-founded QWER Hacks, the first student-organized LGBTQIA+ hackathon in the U.S., reflecting strong commitments to impactful research and inclusive outreach. Based in New York, he pairs open-source impact with interdisciplinary research and community leadership.
code10 years of coding experience
job3 years of employment as a software developer
bookConcurrent Enrollment, Mathematics, GPA: 4.00, Concurrent Enrollment, Mathematics, GPA: 4.00 at De Anza College
bookConcurrent Enrollment, Mathematics, GPA: 4.00, Concurrent Enrollment, Mathematics, GPA: 4.00 at Foothill College
bookUW/W GPA: 3.98/4.50, UW/W GPA: 3.98/4.50 at Monta Vista High School
bookUniversity of Illinois Urbana-Champaign
book3.940, 3.940 at University of California, Los Angeles
languagesEnglish, Spanish
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Github Skills (7)

transformers10
pytorch10
machine-learning10
nlp10
deep-learning10
python10
data-science10

Programming languages (6)

TypeScriptCSSJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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allenai/allennlp

Mar 2021 - Jun 2021

An open-source NLP research library, built on PyTorch.
Role in this project:
userML Engineer
Contributions:57 reviews, 16 commits, 23 PRs in 2 months
Contributions summary:Arjun's contributions primarily revolve around updating and enhancing AllenNLP, an open-source NLP library built on PyTorch. Their work includes documenting and updating components related to softmax loss, setting transformers to evaluation mode within the library, and porting Huggingface LambdaLR-based schedulers. Additionally, the user has worked on fairness metrics, and implemented bias mitigation techniques and methods, suggesting a focus on improving and extending NLP capabilities.
nlppytorchtransformerspythonbert
Contributions:1 PR, 119 pushes, 1 branch in 4 years 7 months
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