GÜROL CANBEK, PhD · PRINCIPAL / CHIEF ARCHITECT
I help organisations turn fragmented data, complex requirements and high-stakes technology programmes into governed architectures, defensible decisions and systems that can be delivered.
Thirty years across defence and NATO environments, global SaaS, financial infrastructure, cybersecurity and academia. Based in Ankara, Türkiye; open to remote international roles structured through Türkiye, with travel as needed.
Available for new opportunities from August 2026: senior full-time, fixed-term and contract roles, selected advisory engagements, and Türkiye technology partnerships.
OPPORTUNITY ROUTES
Leadership across enterprise, data, AI, solution, capability and programme architecture—particularly where fragmented ownership, technical debt, governance and delivery risk meet.
Best-fit titles: Principal Enterprise Architect, Chief Architect, Principal Data Architect, Enterprise AI Architect, Capability or Programme Architect and Principal Solutions Architect.
Independent architecture reviews, semantic modelling, data profiling and quality gates, AI evaluation design, technical due diligence and R&D evidence substantiation.
Technical market development for international technology companies that need credible requirements discovery, ecosystem mapping, solution shaping and local delivery coordination—not commission-only sales activity.
AREAS OF CONTRIBUTION
Authoritative-source strategy, semantic and relational modelling, information flows, lineage, governance and architecture roadmaps. Data profiling exposes risk before migration, analytics or AI development—not after failure.
Capability, requirements, interfaces and dependency traceability for multinational, federated and regulated environments. Views are designed to support decisions, delivery and handover.
Evaluation design that connects dataset fitness, model behaviour, metric selection and system-level acceptance, informed by production engineering and peer-reviewed research.
Reconstruction of engineering work from source-control history, work items, architecture records and technical decisions into a coherent, evidence-backed narrative for expert review.
SELECTED IMPACT
Resolved semantic ambiguity and designed a normalised, integrity-enforced foundation with traceable migration and organisational handover.
NATO Allied Command Transformation · Virginia
View the case →Rule-based and geospatial automation supported The Home Depot at approximately 99% feature-level accuracy and reduced manual adjustment by 80%.
Pointr global SaaS
View the case →Led a CIS Controls programme from current-state assessment to a capability-aligned roadmap and modelled secure information flows across separated enterprise zones.
ASELSAN
View the case →Worked from requirements and architecture through implementation, test and on-site delivery for electronic-warfare ranges and a NATO Open Skies mission system.
HAVELSAN · Türkiye, Pakistan, South Korea and Israel
View the case →THE CAREER BRIDGE
I can move between executive intent, capability and governance, semantic models, technical acceptance evidence and implementation detail without losing the thread between them.
Review experience →RESEARCH → BETTER DECISIONS
Peer-reviewed research—including Q1 journal publications—covers dataset quality and profiling, feature-space distributions, systematic machine-learning processes and classification-performance evaluation.
The commercial relevance is practical: baseline data quality, compare sources, define AI-readiness gates, select defensible metrics and design acceptance criteria before committing to a model or platform.
A USEFUL FIRST MESSAGE
Share the intended outcome, current constraint, location or remote model, timing and the people who will use the result. Do not include sensitive, confidential or classified information.