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Lessons from Applied AI: Tesla, Waymo, and Beyond - Aishwarya Jadhav

Oct 10, 2025
Aishwarya Jadhav, a machine learning engineer with roles at Waymo and Tesla, shares her fascinating journey from finance to AI. She discusses designing an AI guide dog for the visually impaired and contributing to malaria mapping in Africa. Aishwarya also dives into the challenges of deploying safe autonomous systems, the interplay between sensor technologies like LiDAR and cameras, and the significance of gesture recognition in traffic control. Plus, she offers insights on how to break into the self-driving AI industry.
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INSIGHT

Camera-First Perception Trade-Off

  • Tesla favors camera-only perception for scalability and cost reasons, using multiple cameras for a 360° view.
  • This design aims to provide a more holistic scene perception than a human driver by covering all around the car.
ANECDOTE

Waymo Offers Driverless Rides

  • Waymo operates driverless ride-hailing in cities like San Francisco and users hail cars via the Waymo app.
  • Aishwarya encouraged listeners to try Waymo, calling it a current tourist attraction in SF.
INSIGHT

Recognizing Human Traffic Signals

  • Gesture recognition interprets police or traffic controller signals to alter vehicle behavior in real-time.
  • Waymo fuses camera, LIDAR and other sensors with optimized onboard models to run very fast and reliably.
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