Hello, I'm
Global technology leader with 20+ years of experience driving AI-enabled transformation, operational excellence, and scalable engineering organizations. Proven record of aligning engineering strategy with business outcomes, leading global teams, and delivering measurable impact at enterprise scale.
I am a technology executive specializing in scaling engineering organizations, modernizing technical operations, and leveraging AI to drive business outcomes.
Currently at Meta, I lead global Business Support Engineering functions focused on platform reliability, AI-driven automation, and operational excellence. My work sits at the intersection of engineering, product strategy, and business performance, ensuring technology investments translate into measurable value.
Across my career, I've built and led high-performing teams, guided organizations through transformation, and partnered with executive stakeholders to align technical strategy with long-term business goals.
With an MBA (Distinction) from the University of Wales Trinity Saint David and a B.E. in Communication & Electronics from Ain Shams University, I combine deep technical expertise with strategic business acumen.
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20+ years of progressive leadership in Tech
Lead a business-centric Engineering Support organization delivering best-in-class scalable operations and integration services to Advertisers, Business Messaging, and FinTech partners and businesses. Managing a talented global team across California, Austin, Seattle, Dublin, London, São Paulo, and Singapore. Proven track record of growing organizations to 120+ engineers across 7 global locations, driving AI transformation, and partnering with Product, Go-to-Market, Sales, and Operations to deliver revenue growth, operational and engineering excellence. Deep experience in distributed systems, cloud, engineering excellence, support engineering, automation, and organizational transformation.
11 years of progressive growth from Engineer to Senior Manager, building deep expertise in telecommunications engineering and leadership.
Real-world examples of strategic impact and transformation leadership
Rapid platform growth created unsustainable operational demand.
Introduced AI-driven automation, redesigned workflows, and empowered engineers with ownership.
Rapid expansion across regions with inconsistent execution standards.
Unified operating model, leadership development, and shared metrics.
Core principles that guide my approach to leadership and personal growth
"Define success on your own terms, achieve it by your own rules, and build a life you're proud to live."
"Working hard for something you love is 'Passion' while working hard for something you don't love is 'Stress'"
People don't find their passion by What they do, they find it by Why they do it!
"Focus on impact, not motion!"
"The sky is not your limit... you are"
"Be confident and bold while also being humble"
Perspectives on engineering leadership in the AI era, organizational transformation at scale, and the evolving role of engineering directors and VPs
Executive Takeaway: AI-first developer tools are moving from experiments to mainstream adoption.
Analysis of the 2025 Stack Developer Survey reveals AI-first developer tools are moving from experiments to mainstream adoption.
Read MoreExecutive Takeaway: Understanding AI hallucinations is critical for responsible enterprise deployment.
A comprehensive breakdown of AI hallucination types, measurement techniques, and mitigation strategies.
Read MoreExploring strategies for digital transformation and business innovation.
Read MoreContributing to the advancement of knowledge through research and scholarly work
The Information Technology (IT) Support Engagement Conceptual Model was considered in light of IT service management (ITSM) frameworks, including the IT Infrastructure Library (ITIL) and the Service Support methodologies. This research explores how organizations can optimize their IT support engagement strategies for improved service delivery and customer satisfaction.
View PublicationChapter in: "AI-Driven Knowledge Management: Strategies for the Modern Business Landscape"
This chapter addresses the exciting world of AI-powered knowledge management (KM) and explores how organizations can bank on AI's potential to accelerate innovation, product development, and time-to-market. It discusses practical applications, techniques, and strategies for seamless integration of AI-driven KM within organizational ecosystems.
If you're interested in executive engineering leadership, AI-driven organizational transformation, or building scalable, resilient technical organizations — let's connect.