Morgan Mcguire
Senior Machine Learning Engineering Manager at CoreWeave
Dublin, Dublin 1, Ireland
Summary
🤩
Rockstar🎓
Top SchoolMorgan Mcguire is a Senior Machine Learning Engineering Manager with nine years of cross-industry experience applying ML to product growth, scientific and engineering problems, currently leading Applied AI efforts at CoreWeave in collaboration with Weights & Biases. He combines hands-on model development—ranging from PyTorch translation services for Irish to contributions to fastai’s CorpusBLEU metric—with production ML engineering expertise in experiment tracking (wandb), SageMaker integrations, and scalable deployment. Formerly a data analyst at Facebook and a growth ML lead at W&B, he bridges rigorous analytics, MLOps, and product-focused experimentation to drive measurable impact. His background in renewable energy systems and finance gives him a rare multidisciplinary perspective on modeling complex, real-world systems. Outside work he maintains open-source projects and community contributions, evidencing a pragmatic tinkerer’s approach to advancing NLP and generative-audio tooling.
9 years of coding experience
7 years of employment as a software developer
St Josephs "The Bish" - GalwayMSc Finance, MSc Finance at University of StrathclydeBachelor of Science Applied Physics and Electronics, Bachelor of Science Applied Physics and Electronics at University of GalwayMasters of Engineering Science Renewable Energy Electrical Power Systems, Masters of Engineering Science Renewable Energy Electrical Power Systems at Curtin University
English, Spanish
Github Skills (16)
experiment10
weighting10
huggingface-transformers10
machine-learning10
deeplearning-ai10
fastai10
pytorch10
nlp10
deep-learning10
python10
text-classification10
weight10
sagemaker10
testing9
audio-processing8
Programming languages (7)
Github contributions (5)
wandb/examples
Aug 2021 - Jan 2023
Example deep learning projects that use wandb's features.
Role in this project:
ML Engineer
ML EngineerContributions:10 reviews, 28 commits, 63 PRs in 1 year 5 months
Contributions summary:Morgan's primary contribution is adding a SageMaker Hugging Face example to the wandb/examples repository, demonstrating expertise in integrating Hugging Face models with SageMaker. The commits reveal the implementation of a text classification script, including necessary dependencies, model configuration, and dataset integration. The user also incorporated Weights & Biases (wandb) for experiment tracking, including logging datasets, metrics, and model checkpoints.
pytorchdeep-learningdeep-learning-examplemachine-learningwandb
Harmonai-org/sample-generator
Sep 2022 - Oct 2022
Tools to train a generative model on arbitrary audio samples
Role in this project:ML Engineer
ML EngineerContributions:33 commits, 1 PR, 3 comments in 26 days
Contributions summary:Morgan primarily focused on integrating Weights & Biases (wandb) for experiment tracking and logging within the project's audio generation pipeline. They implemented wandb imports, logging functionalities, and configurations to track generated audio samples, model parameters, and other relevant metrics. The user also adjusted the default setting for logging to wandb and incorporated specific configurations, including file paths, original samples and various other parameters.
audio-samplesgenerative-modelarbitraryaudiogenerative
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