Developed Object Tracking by detection using SSD followed by UKF in image space (SqueezeDet, PeeleNet, YOLO).
● Developed depth map estimation using Supervised Learning Techniques like U-NET , SqueezeSeg and other segmentation architectures along with CRF and discriminative loss function.

● AI agents for tracking and ACC using MDP - RL and AD-NET.

In vehicle Multilingual Smart Voice Assistant for car that runs on board without cloud.

This platform helps Us govt find the relevant suppliers to fullfill the supply chain needs.

My role is to work over 1.6M companies databases and provide the needfull suppliera based in the problem statetment using Supplier Website scrapped data, Past experiences, news etc