Connecting AI robotics with real world applications.

Some of the things I have worked on:

• Covariant’s core AI model service

• A barcode scanning performance data pipeline

• An annotation pipeline to automate surfacing problematic data, sending data to third-party vendors for annotation, and feeding annotated data back into the model training loop

• A video monitoring solution to provide real-time video streams of robots for triaging deployment issues

Tackled the problem of learning policies for robotic behaviors directly on raw-sensory inputs like camera images without the need for manual reward specification.

Project homepage: https://sites.google.com/view/reward-learning-rl

Publications: https://scholar.google.com/citations?user=n4kXFdsAAAAJ&hl=en

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