Chandra Prakash

Experience of working on challenging areas like Natural Language Processing, Image Processing, and Apps development on Android. Notable projects in my portfolio are:

"Pattern Taxonomy Model", used for search optimization using Hashes. It was based on research work by peers in college.

"in-Image", an image search application developed using OpenCV libraries. It includes Features Extraction using SURF and basic Pattern Recognition using FLANN. I developed this independently for open elective project in Engineering.

"Connext", an android application based on peer-to-peer architecture for audio and video communications (different from commonly used client-server architecture). The server is used only for checking online visibility/discovery of peers. Node.JS, MongoDB and WebRTC were used for development.

Worked on Natural Language Processing using NLTK libraries for generating summary of news feeds. Its WebService API was developed using Python - Flask framework and has been deployed in OpenShift cloud.

Currently I am working with Snapwiz where I am responsible for development of its proprietary application on android, back-end server using Meteor JS web framework and design of machine learning algorithms.

Specialties and Interest areas:
Artificial Intelligence, Machine Learning & Neural Networks, Genetics, Pattern Recognition
Android, Meteor JS, Node.JS, Python, Java, C, C++, MongoDB, MySQL
OpenCV, OpenGL, Matlab, Photoshop
Collaborating with non-profit organizations, Keyboard, Tabla and Music