About

I’m a Machine Learning and Backend Engineer at Anghami, where I work with the machine learning team on developing and deploying recommendation algorithms, ranging from Collaborative Filtering to Content-based algorithms. Before that, I was a Computer and Communications Engineering student at the American University Of Beirut, where I worked on different projects ranging from cooperative media content distribution to computer vision using deep learning. My main interests are Machine Learning, Algorithms, Software Architecture and Design, and Recommender Systems.

Publications

  1. A. Moussawi. Towards Large Scale Training Of Autoencoders For Collaborative Filtering. In Proceedings of Late-Breaking Results track part of the Twelfth ACM Conference on Recommender Systems (RecSys ‘18), October 2018. Paper - Code.

  2. A. Moussawi, K. Haddad, A. Chahine. An FPGA-Accelerated Design for Deep Learning Pedestrian Detection in Self-Driving Vehicles. In Proceedings of the 2017 Faculty of Engineering and Architecture Student and Alumni Conference (FEASAC ‘17), April 2017. Paper - Code.

  3. K. Jahed, S. Sharafeddine, A. Moussawi, A. Abou Daya, H. Dbouk, S. Kassir, Z. Dawy, P. Valsalan, W. Cherif, and F. Filali. Scalable Multimedia Streaming in Wireless Networks with Device-to-Device Cooperation. In Proceedings of the 2016 ACM on Multimedia Conference (MM ‘16), October 2016. Paper.