Expert on Demand integrates Webex on wearable, hands- free, augmented reality headsets like Realwear HMT, Google Glass, and Microsoft HoloLens. Led engineering from Proof of Concept to Production.

Worked ondeveloping and implementing algorithms that form the core of a handwriting recognition system that performs at a very high level of accuracy.

• Building and evaluating various geometric and probabilistic models for handwritten data

• Design and implementation of original, robust, and efficient algorithms to represent 2D curves and shapes

• Implementation of piecewise approximation schemes like splines

• Design and implementation of probabilistic and statistical models, parametric and non-parametric, to deal with various aspects of handwritten data

Implementation of various algorithms from natural language processing to handle lexical, linguistic, and phonotactic (related to speech) information to improve handwriting recognition accuracy

• Co-designed and co-taught a 4-day course on Deep Learning (Artificial Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks) as part of corporate training for Aricent Delhi and Bangalore (a total of 28 students)

• Advised individual students enrolled in Edu2Code courses on projects and machine learning concepts