Computer Vision Engineer
My daily work consists of using deep learning and machine learning models to solve computer vision tasks. I primarily work in object detection in images and real-time video streams, object tracking, face recognition, gesture, and human activity recognition, segmentation, style transfer, image stitching.
My interests are Computer Vision, Deep Learning, Graph Theory, Algorithms and Data Structures, Machine Learning.
I am well versed and have worked extensively in the following technologies/areas: Tensorflow, Keras, Pytorch, CNN, GANs, FRCNN, Bidirectional LSTMs, GRU, XGBoost, Gradient Boosting, Decision Trees, Logistic Regression, Random Forests.
I have been at the National University of computer and emerging sciences as Research Assistant (RA) to work on real-time object detection.
I also have experience writing intelligent web apps in Flask and building intelligent Android mobile apps using Tensorflow-lite.
You can find much more details about me on my GitHub profile.
I'd love to help you out with your data-science/machine learning/deep learning project(s). Let's solve it together :)