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CTO | Head of AI Systems | Enterprise AI Transformation Leader
I am a technology and AI executive focused on building reliable, governable, production-grade AI systems for enterprise use. Over 15+ years, I have led mission-critical transformation, regional P&L, and large delivery organizations across 20+ countries in EMEA. My leadership background includes managing 500–600-person organizations, overseeing customer portfolios of approximately $400M annually, delivering 27% cost reduction through transformation, improving customer and margin performance, and introducing recurring revenue models that added 11% revenue. My recent work has focused on AI systems architecture and enterprise AI operating models, with particular depth in verification-first reasoning, evaluation and assurance frameworks, rollback and branching control, traceability, policy constraints, and controlled long-horizon memory. I am especially interested in the practical side of AI reliability: how to make AI systems auditable, resilient, and safe to deploy in real operating environments. I work across AI platform architecture, LLMOps/MLOps, retrieval reliability, orchestration patterns, observability, governance controls, and human-in-the-loop escalation for higher-risk workflows. I bring a rare combination of executive-scale operating leadership and hands-on AI systems depth, and I am most relevant to CTO, Head of AI Systems, and Enterprise AI Transformation roles where AI must deliver measurable business value, not just technical promise. Artifacts: (preprint + evidence pack) and GitHub (public verifier/replay tooling). Patent Pending: USPTO Provisional 63/978,753 (Filed Feb 9, 2026) GitHub: github.com/TechStrike-ai Zenodo: Preprint 10.5281/zenodo.18729749 Zenodo: Evidence Pack 10.5281/zenodo.18720648
Kellogg Executive Education
Executive Education, Marketing & Business
January 1, 2015 – January 1, 2016
The American University in Cairo
Master of Business Administration (M.B.A.)
January 1, 2014 – January 1, 2016
Cairo University
Bachelor of Engineering (B.Eng.), Electronics and Technology Engineering
N/A – Present
Stealth AI Systems Venture
CTO / Head of AI Systems
May 1, 2024 – Present
Dubai, United Arab Emirates · On-site
O3 renovations
O3 Tokenization - Founder & Shareholder
March 1, 2023 – September 1, 2025
Dubai, United Arab Emirates
O3 renovations
Founder and Shareholder
January 1, 2019 – June 1, 2024
Dubai, United Arab Emirates
Ericsson
Vice President – Operations, Project Delivery & Managed Services (EMEA)
March 1, 2015 – January 1, 2018
Ericsson
Head of Networks & Managed Services
January 1, 2013 – March 1, 2015
Ericsson
Head of Customer Projects & Service Delivery
March 1, 2010 – January 1, 2013
Ericsson
Program Director (IT, OSS/BSS & Networks)
February 1, 2008 – March 1, 2010
Ericsson
OSS/BSS Project Manager
January 1, 2007 – February 1, 2008
Ericsson Project Manager
Ericsson
June 23, 2026 – Present
CCNP
Cisco
June 23, 2026 – Present
PMP
Project Management Institute
June 23, 2026 – Present
CCNA
Cisco
June 23, 2026 – Present
Sales Excellence
Ericsson
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across telecommunications, real estate, and AI ventures, coupled with an MBA and executive education, suggests adaptability and a broad perspective. Their entrepreneurial drive aligns with innovative environments. However, the target role of 'Web3 Developer' implies a hands-on coding and technical depth that is not explicitly demonstrated in the provided experience, which is heavily focused on leadership, strategy, and business development. While they founded a tokenization venture, the technical implementation details are missing, which could impact cultural fit within a developer-centric team.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic planning, and operational excellence through their extensive experience in managing large teams and P&L responsibilities. Their entrepreneurial background highlights initiative, problem-solving, and business acumen. The ability to define complex AI system architectures suggests strong analytical and structured thinking. However, direct evidence of collaborative development in a Web3 context is not explicitly detailed.