William Lindeman is a Staff Software Engineer with 14 years building embedded AI, real-time video, and resilient networking systems—currently focused on AI acceleration for autonomous vehicles in San Francisco. He has led end-to-end projects from prototype to fleet deployment, including a Rust-based QUIC multipath engine that dramatically reduced latency and improved network reliability for AVs. His background spans real-time media (GStreamer, WebRTC), cloud-native infrastructure (Kubernetes autoscaling), and edge/embedded firmware, giving him rare fluency across vehicle telematics, cloud services, and low-level systems. William also runs and restructured a startup, applying product and operational discipline to transition it to sustainable profitability. Colleagues rely on him to tame complex cross-domain problems where performance, reliability, and constrained hardware intersect.
14 years of coding experience
11 years of employment as a software developer
Computer Science, Computer Science at Kettering University
Contributions:5 releases, 12 reviews, 161 commits in 1 year 5 months
sfuwebrtc
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