Arya Mccarthy
Research Scientist at Google DeepMind
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolArya Mccarthy is a research scientist with 11 years of experience advancing language and speech technologies, currently working at Google DeepMind to improve Gemini’s factual accuracy across languages. With a PhD from Johns Hopkins and a track record spanning startups (Noetica, Scaled Cognition) and top labs (Google Research, Facebook, Duolingo), Arya bridges cutting-edge LLM research and practical product impact. Their work on constrained generation, psychometric inference with LLMs, and end-to-end speech translation has repeatedly closed performance gaps and accelerated evaluation cycles. An active open-source contributor, Arya has optimized core graph algorithms in the widely used NetworkX library and contributed data-processing tooling to the ACL Anthology—signaling a knack for both algorithmic efficiency and reproducible research infrastructure. Based in New York, they blend deep academic training with hands-on engineering to ship research that scales beyond papers into production systems.
11 years of coding experience
6 years of employment as a software developer
Johns Hopkins UniversityHighland Park High SchoolInformatics, Informatics at The University of EdinburghMaster of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at Southern Methodist UniversityComputer Science, Entrepreneurship, Computer Science, Entrepreneurship at Stanford University
English, Persian, Spanish
Stackoverflow
8,661reputation
956kreached
215answers
7questions
machine-learning
top-5%
python
top-1%
scikit-learn
top-5%
numpy
top-5%
Github Skills (30)
algorithm10
algorithms10
graph-algorithms10
python10
network-analysis10
data-structure10
data-transformation10
natural-language-processing10
xml-parsing10
data-structures10
graph-theory10
scripting9
scipy9
numpy9
machine-learning9
Programming languages (15)
Github contributions (5)
acl-org/acl-anthology
Mar 2019 - May 2022
Data and software for building the ACL Anthology.
Role in this project:
Backend Developer
Backend DeveloperContributions:3 reviews, 42 commits, 28 PRs in 3 years 2 months
Contributions summary:Arya primarily focused on developing and modifying Python scripts for converting and processing XML data related to the ACL Anthology. Their contributions include creating parsing functionalities for TACL and CL XML files, extracting relevant information like titles, authors, and publication details, and integrating these parsing routines into a broader workflow. The user also handled data transformations, URL management, and implemented logic to handle specific data formats. Their work demonstrates a deep understanding of the Anthology's data structure and the processes needed for its management.
library-management-systemphoneticsanthologyacl-anthologynatural-language-processing
networkx/networkx
Sep 2016 - Dec 2016
Network Analysis in Python
Role in this project:Back-end Developer / Algorithm Implementer
Back-end Developer / Algorithm ImplementerContributions:6 commits, 3 PRs, 55 comments in 2 months
Contributions summary:Arya focused on optimizing graph algorithms within the `networkx` library. Their contributions involved implementing a faster smallest-last ordering algorithm and a more efficient random geometric graph generator using a k-d tree. They also addressed compatibility issues for users without SciPy and updated documentation. These changes significantly improved the performance of core functionalities in the library.
graph-analysispythoncomplex-networksgraph-theorygraph-visualization
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