Atlassian
Rovo Dev for software teams
Leading ML/AI initiatives behind developer-focused products: Rovo Dev, Rovo Dev Code Review, and code search, so engineers get useful AI help in the IDE, PRs, and day-to-day workflow.
ML/AI Technical Leadership · Atlassian
I lead ML/AI for developer products like Rovo Dev, from early ideas to systems that ship.
I'm part of ML/AI technical leadership at Atlassian, focused on developer AI products like Rovo Dev. I care about taking research ideas into production systems teams can trust.
I lead with clarity: aligning cross-functional partners, mentoring engineers, and driving org-level impact. I studied Computer Engineering at Cairo University, earned a Master's from the University of Washington in Seattle, and I'm enrolled in Stanford's Artificial Intelligence Professional Program.
For roles, collaboration, or speaking, use the contact form or LinkedIn. Selected work and experience are below.
Formal study that anchors how I think about language, models, and production AI.
University of Washington, Seattle
Focused on making language models more inclusive, explainable, and robust, with strong grounding in NLP systems that ship.
Stanford University
Enrolled in Stanford's AI Professional Program, including Natural Language Processing with Deep Learning (XCS224N).
Cairo University · Faculty of Engineering
Graduated with honors (rank 4th in class). Graduation project: Videolator.
A few markers from the start of the path, kept brief on purpose.
A short path through the roles that shaped how I build and lead ML systems.
2025 – present
Leading ML/AI for developer products including Rovo Dev, Rovo Dev Code Review, and code search.
2022 – 2025
Responsible AI for GitHub Copilot and Bing; IP and copyright commitments; security models and evaluation pipelines.
2017 – 2022
Lex conversational AI, large-scale product understanding, and ads ranking systems with major business impact.
2013 – 2017
Web-scale NLP, Windows feedback intelligence, and Azure Spark / HDInsight platform work.
2011 – 2013
Healthtech startup in Egypt: clinic tooling, early Android apps, and building a small engineering team.
A few systems I led or heavily shaped. Full detail lives on the resume.
Atlassian
Leading ML/AI initiatives behind developer-focused products: Rovo Dev, Rovo Dev Code Review, and code search, so engineers get useful AI help in the IDE, PRs, and day-to-day workflow.
Microsoft
Shipped systems for PII redaction, code vulnerability detection, malware safeguards, and IP harm filtering. Built benchmarking pipelines so model quality and safety could be evaluated consistently across markets.
AWS AI · Amazon Lex
Designed real-time utterance expansion and conversation generation under Lex latency constraints, plus data augmentation and benchmarking tools that became part of Lex's language stack.
Amazon Ads
Designed and launched a ranking feature that improved ad relevance and drove about $750M in additional revenue, while hardening auction infrastructure and engineering velocity.
I advise startups and organizations building AI products, including work with Islamic groups and community-focused teams in the MENA region and beyond.
Public research and patents connected to secure, edit-time code AI.
Send a note here, or reach me on LinkedIn.