Nathan Brake

Senior Machine Learning Engineer at Mozilla.ai

Pittsburgh, Pennsylvania, United States
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Summary

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Rockstar
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Top School
Nathan Brake is a Senior Machine Learning Engineer with eight years of experience building and deploying ML systems, now focusing on NLP and model-driven productivity at Mozilla.ai. He combines a strong engineering foundation—from embedded and electrical systems to cloud-native services—with advanced ML research training (MS, Georgia Tech) to train and evaluate LLMs and specialized architectures for clinical and speech domains. At Solventum he applied LoRA, PEFT, PyTorch DDP and Sagemaker to clinical note generation, and earlier roles at M*Modal and in embedded systems gave him deep production experience in ASR, C++, Go, Kubernetes, and real-time control. He is pragmatic about moving models into reliable, observable pipelines and enjoys exploring how small architectural and tooling choices unlock outsized productivity gains. Based in Pittsburgh, he brings a blend of research rigor and hands-on production craft that helps bridge experimental ML with robust product delivery.
code8 years of coding experience
job9 years of employment as a software developer
bookMaster of Science - MS, Computer Science, Machine Learning, Master of Science - MS, Computer Science, Machine Learning at Georgia Institute of Technology
bookBachelor of Science (BS), Electrical Engineering, Bachelor of Science (BS), Electrical Engineering at Grove City College
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Github Skills (186)

transformers10
apache-spark10
cmake-js10
python10
model-management10
vector-database10
codex10
sagemaker10
prompt-engineering10
mlops10
huggingface10
deep-learning10
lora10
vertex-ai10
gemma10

Programming languages (12)

TypeScriptC++CSSCRustHandlebarsJavaScriptGo

Github contributions (5)

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mozilla-ai/clawbolt

Mar 2026 - Jul 2026

The AI Assistant that actually does things for the trades
Contributions:9 releases, 1 review, 112 PRs in 4 months
aiassistantcontractorelectricianopenclaw
mozilla-ai/any-agent

Apr 2025 - Apr 2026

A single interface to use and evaluate different agent frameworks
Contributions:9 releases, 265 reviews, 273 PRs in 1 year
agent-frameworkagent-evaluationagentsaia2a
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