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Aryan Singhal

Aryan Singhal

AI/ML engineer and full-stack developer focused on ML research, from SF California

aisinghal
San Francisco, California
West Lafayette, Indiana
Joined March 2026
Favicon imageaisinghal.comFavicon imagegithub.comFavicon imageorcid.orgFavicon imagescholar.google.comFavicon imagedevpost.com

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Summary

Active student researcher and published coauthor in ML/NLP: Aryan has coauthored multiple papers and workshop contributions on topics such as multilingual fact-checking, bias in LLMs, and quantum‑enhanced vision models, reflecting a strong focus on machine learning research. google+3
Builder and entrepreneur in ML infrastructure and products: maintains and promotes projects like GPUnity and other software projects, indicating an emphasis on practical ML tooling and product development alongside research. gpunity+1
Student leader and community organizer in AI education: holds executive and committee roles (Innovation & Research Lead at the National AI Youth Council; executive board member at ASTRA) and has held officer roles at Monta Vista, showing engagement in youth AI leadership and outreach. aiyouthcouncil+2
Contributor to interdisciplinary and emerging research directions: work spans applied biomedical imaging (QViSTA), multilingual fact‑checking, and model bias analysis, suggesting breadth across applied ML, NLP, and quantum‑inspired approaches. openreview+2

Work

Education

Projects

Writing

Multilingual fact-checking using LLMs

January 1, 2024

Paper on using large language models for multilingual fact-checking, presented at the Third Workshop on NLP for Positive Impact (NLP4PI).

Favicon imageaclanthology.org

Unveiling bias in ChatGPT-3.5: Analyzing constitutional AI principles for politically biased responses

January 1, 2024

Investigation of political bias in ChatGPT-3.5 and analysis of constitutional AI principles, authored with high-school research collaborators.

Favicon imageemerginginvestigators.org

QViSTA: A Novel Quantum Vision Transformer for Multi-Stage Early Alzheimer’s Diagnosis Using Optimized Variational Quantum Circuits

Research paper describing the QViSTA model that combines variational quantum circuits with vision transformers for early-stage Alzheimer's diagnosis.

Favicon imageopenreview.net

Hobbies

Practiced and instructed martial arts (served as an instructor 2020–2022). aisinghal