Technical lead (sensor fusion, object detection and tracking, and temporal modeling)

Working on various object detection and identification approaches for millions of products in the AmazonFulfillment Center catalog (both singulated and clutter).

Deep learning and imitation learning

• Developed a navigation map system using Open Street Map.

• Designed a conditional imitation learning framework for real-time GPS following driving.

• The system mimicked human-like driving behaviors by following navigation commands - lane following, lane changing, turn during intersection, exiting a highway, etc.

• Designed and trained a CNN network for real-time lane following driving, running at over 20fps.

• Achieved 98% autonomy in a 40-minute driving and generalization to the production environment - various road types, textures and weather conditions.