Hi, I'm Sarah Gheita - Engineering Manager at Google
I thrive on solving complex business problems with innovative software solutions, particularly within AI and distributed systems. Leading engineering teams at Google, I'm passionate about driving developer productivity and pushing the boundaries of what's possible with technology.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Published research in the Journal of Experimental and Theoretical Artificial Intelligence.
Leads the Gemini developer productivity team at Google, driving AI innovation.
Can help others by sharing expertise in AI, technical leadership, and software development.
🚀 Career trajectory
Academic Foundation
Began career in academia as a Computer Science Lecturer at Middlesex University and an Artificial Intelligence Lecturer at Etisalat Academy, focusing on teaching and research.
✦ Teaching
✦ AI Research
✦ Computer Science
Industry Application
Moved into industry as an IT Manager at Procter & Gamble, applying technical skills to business challenges.
✦ IT Management
✦ Enterprise Solutions
✦ Problem Solving
Current Leadership Role
Currently serving as an Engineering Manager at Google, leading the Gemini developer productivity team and driving innovation in AI.
✦ Engineering Management
✦ Generative AI
✦ Developer Productivity
💪🏻 Superpowers
AI Innovation Catalyst
Driving advancements in AI and developer productivity
✦ Leads the Gemini developer productivity team at Google.
✦ Expertise in AI, Generative AI, and distributed systems.
✦ Solves complex business problems with novel software solutions.
Technical Leadership Architect
Building and guiding high-performing engineering teams
✦ Proven ability to build and lead technical teams.
✦ Experienced in technical design and software systems development.
✦ Fosters team growth through strong communication and mentorship.
Bridging Academia and Industry
Applying research insights to real-world challenges
✦ Published research in the Journal of Experimental and Theoretical Artificial Intelligence.
✦ Transitioned from academia as an AI lecturer to industry leadership.
✦ Leverages deep CS and AI knowledge in practical applications.
I'm excited about
✦ Exploring cutting-edge AI advancements and their practical applications.
✦ Connecting with peers to discuss future technology trends.
✦ Finding opportunities to contribute to impactful projects.
I can help with
✦ Share insights on building and scaling AI development teams.
✦ Offer guidance on solving complex technical challenges.
✦ Provide perspectives on bridging academic research with industry needs.
I would love your help on
✦ Discovering emerging AI research areas for future exploration.
✦ Connecting with leaders in the AI and cloud computing space.
✦ Finding collaborators for innovative AI initiatives.