Anhad Mohananey
Senior Research Software Engineer at Google DeepMind
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolAnhad Mohananey is a Senior Research Software Engineer with a decade of experience building and shipping large-scale ML systems, currently leading modeling efforts for Gemini Advanced at Google DeepMind. His background spans research and production roles—core contributions to Gemini 1.0 and 1.5 and post-training modeling at Google—grounded in an MS from NYU Courant and several peer-reviewed NLP publications from his NYU research. He brings deep NLP expertise to engineering, having contributed to the widely used jiant toolkit (including ON-LSTM integration and training-from-scratch embedding work) and bridging research code with production-quality systems. Comfortable in both game-engine and cloud-scale environments, he pairs rigorous model development with practical engineering tradeoffs to move research into deployed products.
10 years of coding experience
10 years of employment as a software developer
Master of Science Computer Science @ Courant Institute of Mathematical Sciences, Master of Science Computer Science @ Courant Institute of Mathematical Sciences at New York UniversityUniversity of DelhiSanskriti School
Github Skills (11)
transformers10
pytorch10
nlp10
python10
natural-language-processing10
bert9
yml-configuration9
system-configuration9
custom-configuration9
configurations9
transfer-learning8
Programming languages (3)
Github contributions (5)
nyu-mll/jiant
Feb 2019 - Jun 2019
jiant is an nlp toolkit
Role in this project:
ML Engineer
ML EngineerContributions:6 commits, 7 PRs, 82 pushes in 4 months
Contributions summary:Anhad contributed to the development and refinement of the `jiant` NLP toolkit, focusing on tasks related to language modeling and sentence encoding. They implemented and debugged features for training word embeddings from scratch, demonstrating a core understanding of NLP model components. Furthermore, the user integrated and adapted an ON-LSTM sentence encoder within the project, and made several configuration and code improvements to the overall structure.
natural-language-processingnlpsentence-representationbertmultitask-learning
anhad13/SelfTrainingAndLRP
Jun 2019 - May 2020
Contributions:88 commits, 3 pushes, 2 branches in 11 months
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