Summary
Mohamed Hammad is a Senior Staff Software Engineer with 12 years of experience building large-scale user modeling and recommendation systems at Google, where he leads a 10-engineer team developing foundational personalization tech used in products like the Play Store. He has deep expertise in causal and uplift modeling, ML-based ranking (e.g., Gmail contact autocomplete), and logging-driven infrastructure for training data that’s reused across dozens of teams. His work on intervention targeting at Google Brain has driven significant product metric gains and material incremental revenue through principled, productionized causal approaches. A former competitive TopCoder with a strong background in algorithms and systems, he combines research rigor from an MSc in Computer Engineering with hands-on production engineering to turn experimental models into reliable, widely adopted platforms.
12 years of coding experience
14 years of employment as a software developer
Bachelor of Science (BSc) Computer Engineering, Bachelor of Science (BSc) Computer Engineering at Cairo University
Master of Science (MSc) Computer Engineering, Master of Science (MSc) Computer Engineering at Faculty of Engineering , Cairo University
Arabic, English