Responsible for implementing dataset creation, transfer learning, training neural networks and device testing for tasks such as semantic/instance segmentation, object detection, and video segmentation using TensorFlow, Keras, MXNet and Caffe.

Deployed semantic segmentation model in specialized embedded hardware with compression techniques as well as optimizing the network to run efficiently on edge devices for the World’s leading non-US based mobile company.

Developing novel methods and architectures to improve the quality of image and video processing for scientific development of customer facing technology demos and contractual deliveries.

Productivity Improvement through Line Balancing Technique and Manpower Optimization: Optimized 43 Manpower from the shop floor by Line Balancing and introducing 13 Industrial Robots.

Process Improvement through Time Study with the help of STDS Software: Upgraded more than 120 Standard Operation Sheet based on time study using STDS software.

Implementation of Assembly Processing System (APS) Software: Implemented Standard operation sheet and Job element sheet in the entire body shop. Trained the entire team for APS deployment.

Downtime Monitoring: Improved Hours Per Unit (HPU) with an increment in utilization percentage from 79% to 90%, value added work from 59% to 62% and decrement in over speeding from 25% to 11%.

Reduce the Ergo rate of top rating stations.