Jerad Fields is an NLP engineer and data scientist based in San Francisco with 11 years of experience building production natural language understanding systems and real-time voice AI components. He blends a strong research background from PhD work in probabilistic machine learning and Bayesian nonparametrics with hands-on industry leadership as Head Data Scientist and Principal/Staff ML Engineer at startups and Medium. His contributions span intent classification, slot filling, neural embeddings, and practical deployment optimizations—recently improving turn detection for real-time multimodal agents by migrating models to ONNX for performance and Windows compatibility. Jerad’s rare combination of cognitive-science-informed probabilistic modeling and production-grade ML engineering helps bridge principled research with robust, real-world systems.
11 years of coding experience
14 years of employment as a software developer
Bachelor's degree, Philosophy, Biology, Bachelor's degree, Philosophy, Biology at University of Central Oklahoma
Contributions:2 reviews, 16 PRs, 42 pushes in 6 months
Contributions summary:Jerad primarily contributed to the turn detector functionality within the `livekit/agents` repository, which focuses on real-time voice AI agents. Their commits involve significant modifications to the turn detection model, including migrating to ONNX runtime for optimization. They implemented various versions of the turn detector, including model updates and improvements related to accuracy and robustness. They also addressed input truncation issues and ensured correct data types for Windows compatibility.
Contributions:43 commits, 36 pushes, 1 branch in 1 month
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