Summary
Ehab Ghabashneh is a software engineer with a Ph.D. from Purdue and eight years of experience building and optimizing large-scale network and video systems. His research and industry work span interactive 360° video streaming, CDN-aware ABR algorithms, and fine-grained data center traffic characterization, including production-impacting contributions at Meta and Facebook. He improved interactive video quality by up to 3x while slashing rebuffering by 96% in Dragonfly and led the first large-scale analysis of burstiness, contention, and loss across Meta hosts. Comfortable in C/C++, Python, Java, and ML toolkits like TensorFlow and PyTorch, he bridges deep research rigor with production engineering at companies including Google and Facebook. Colleagues know him for pragmatic system designs that translate into measurable QoE and network performance gains—and for deploying research into consumer platforms like Oculus.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - Ph.D., Doctor of Philosophy - Ph.D. at Purdue University
Bachelor of Science - BSc, Computer Engineering, Bachelor of Science - BSc, Computer Engineering at Jordan University of Science and Technology
Exchange student, Department of Information Technology, Exchange student, Department of Information Technology at Uppsala University
English, Arabic