Usman A.

I have a Masters degree in Computer Science with research interests in computer vision using deep learning. I have worked on several research and development projects related to object recognition, image segmentation, person re-identification and face recognition in academic as well as industrial settings. One of my most recent projects is related to unsupervised person re-identification by exploiting domain adaptation and temporal continuity of surveillance data. This project achieved state-of-art performance in unsupervised person identification. Another interesting project was focused on advancing the performance of real-time instance segmentation in order to deploy and run human segmentation models on mobile phone devices. While working on these projects, I have also published two peer-reviewed academic papers in a top international conference on neural networks (ICONIP). Prior to that, I have a two years experience as a software engineer where my job was to implement Apache Spark-based big data analytics solutions. I am well-versed in various machine learning algorithms related to classification, regression and clustering. I have hands-on experience of over 3 years on deep learning frameworks like Tensorflow, Pytorch, Keras and Tensorboard etc. I also have strong grip on OpenCV and Numpy. I am highly interested in any challenging research and/or development task related to deep learning and computer vision.