Neil Dwyer is a seasoned software engineer and entrepreneur with 11 years of experience building real-time media systems and scalable back ends from the Bay Area. He co-founded Chef Studios and Gabber, and has been a multi-year contributor and engineer at LiveKit, where he implemented core Python agent functionality for real-time audio/video streaming and room/track management. Previously a founding engineer at Bebo, he shipped mobile apps, live video streaming backends (RTMP and WebRTC), and computer vision inference systems, and later contributed at Uber on large-scale services. Neil blends systems-level engineering with product instincts—able to architect low-latency media pipelines and also lead early-stage startups. He holds dual BS degrees in Mechanical Engineering and Mathematics from University of the Pacific, bringing analytical rigor to practical, production-grade systems. A detail that sets him apart is hands-on expertise across the full stack of live media: client apps, streaming protocols, ML inference, and server-side integrations.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BS), Mechanical Engineering, Bachelor of Science (BS), Mechanical Engineering at University of the Pacific
Contributions:234 reviews, 249 PRs, 643 pushes in 10 months
Contributions summary:Neil implemented initial agent functionality within the `livekit/agents` repository using Python. Their contributions included the creation of core classes and utilities for handling agents, room participation, track subscriptions, and processing of audio frames. The code demonstrates a focus on handling real-time audio and video streams within the LiveKit framework, suggesting integration with media processing APIs and SDKs for video and voice. These initial contributions set the foundational structure for building agents within the LiveKit platform.
Contributions:1 review, 105 commits, 12 pushes in 1 month
nextjsreactspatial-audiovoice-chatwebrtc
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