Pat Jenkins is a machine learning researcher and engineer with 11 years of experience applying NLP, computer vision, and data science to production problems from government research to consumer media. Based in Frederick, Maryland, he has driven high-impact systems at Comcast—supporting 300M weekly voice queries and achieving perfect entity retrieval across English, French, and Spanish—and has built dialog generation and semantic resolution models that materially improved customer support efficiency. His background includes adversarial-robust computer vision research at the NSA and neural architectures for language-conditioned object recognition developed during his MS at UMBC. Comfortable across Python, TensorFlow, PyTorch, SQL and deployment stacks, he has a track record of moving research into scalable services and migrating critical data platforms for reliability. Notably, he pairs academic rigor with production focus, having presented graph and ML work to specialist audiences while shipping enterprise NLP products.
Contributions:2 PRs, 6 pushes, 4 branches in 4 years 1 month
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