Converting cutting edge Machine Learning research to software products.Working in Biometric Research Group in Center for Vision Speech and Signal Processing (CVSSP, ranked 1st in Computer Vision Research in the UK - 2020)Developed different applications including Real-time Facial Recognition System, Person Re-Identification System, Object Tracking System, Age Estimation System etc. Mainly used python programming language for front-end development as well as back-end APIs to make inferences from Deep AI trained networks in real-time, using GPUs.Frequently used libraries including OpenCV, Numpy, Caffe, MxNet, PyTorch, Cuda.Created secure analytical web dashboards for large scale data acquisition for preparation of training data for different Machine Learning algorithms. Used MongoDB and MySQL for large-scale databases.Also worked on Surrey 3D Face Model morphing, collected 3D face data using 3dMD capture system.Experience in deploying AI-driven API applications using WSGI via apache.Also trained some Machine Learning algorithms from scratch to get intuition and understanding of Deep Learning, by using distributed computing resource platform Condor.