Uploaded December 2025 | Updated September 2026, 2 weeks ago
At Fully Connected London, Mahshid Majd, Unit Lead for Deep Learning at Zenseact, dives into how their tech stack is set up to help them scale and achieve their mission of eliminating traffic fatalities via autonomous driving technology. She spotlights how Zenseact's OnePilot system, deployed in production vehicles, uses end-to-end sensor fusion and trajectory planning within a single deep neural network. Mahshid also discusses the importance of using Weights & Biases as their single source of truth, and how it has helped them scale past bottlenecks of collaboration, model management, and data labeling.
At Fully Connected London, Mahshid Majd, Unit Lead for Deep Learning at Zenseact, dives into how their tech stack is set up to help them scale and achieve their mission of eliminating traffic fatalities via autonomous driving technology. She spotlights how Zenseact's OnePilot system, deployed in production vehicles, uses end-to-end sensor fusion and trajectory planning within a single deep neural network. Mahshid also discusses the importance of using Weights & Biases as their single source of truth, and how it has helped them scale past bottlenecks of collaboration, model management, and data labeling.
