Bryan Mccann
Member Of Technical Staff (Manager) at Anthropic
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolBryan Mccann is an AI-focused engineering leader with 11 years of experience building and scaling NLP and machine learning systems, currently a Member of Technical Staff (Manager) at Anthropic and a cofounder and board director at You.com. He combines deep research roots from multiple senior research roles at Salesforce and Stanford with hands-on contributions to prominent open-source projects like OpenNMT and PyTorch examples, where he improved training pipelines, multi-GPU support, and integration of pre-trained embeddings. Bryan’s work on the decaNLP challenge and torchtext highlights a specialty in multitask NLP, model training optimization, and practical engineering trade-offs that bridge research and product. He has a track record advising startups and funds on technical hiring and strategy, and his background in both CS and philosophy from Stanford gives him a thoughtful, systems-level perspective on building responsible AI products.
11 years of coding experience
4 years of employment as a software developer
Tesoro High SchoolMaster of Science (M.S.), Computer Science (Artificial Intelligence), Master of Science (M.S.), Computer Science (Artificial Intelligence) at Stanford University
Github Skills (21)
pytorch10
machine-translation10
neural-machine-translation10
python10
machine-learning10
deeplearning-ai10
lstm10
deep-learning10
natural-language-processing10
sequence-to-sequence10
nlp10
modeling10
multiple-gpu9
datasets9
language-model9
Programming languages (5)
Github contributions (5)
salesforce/decaNLP
Jun 2018 - Jan 2019
The Natural Language Decathlon: A Multitask Challenge for NLP
Role in this project:
ML Engineer
ML EngineerContributions:107 commits, 11 PRs, 70 pushes in 7 months
Contributions summary:Bryan contributed to the development and improvement of a natural language processing (NLP) project. Their work included refactoring existing code, such as removing dependencies and simplifying metrics. They integrated default models and made changes related to training procedures, demonstrating involvement in model training and optimization. The user also modified code related to the use of Contextualized Word Vectors (CoVe).
nlpmultitask-learningdecathlonsquaddeep-learning
OpenNMT/OpenNMT-py
Jan 2017 - Apr 2017
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
Role in this project:ML Engineer
ML EngineerContributions:71 commits, 4 PRs, 8 pushes in 2 months
Contributions summary:Bryan primarily focused on modifying and improving the training process for the OpenNMT-py model. They made changes to the training script, including modifications to the learning rate, and checkpoint saving. Furthermore, the user worked on multi-GPU support and made various adjustments to model parameters. These contributions suggest an effort to enhance model training efficiency and usability.
pytorchdeep-learningmachine-translationtranslationneural-machine-translation
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