WAYS TO WORK

Three routes, one standard of technical accountability.

I work best where architecture must connect strategy to implementation and where decisions need to be explainable, traceable and usable by the people who will deliver them.

ROUTE 01 · PRIMARY

Principal / Chief Architect roles

Senior full-time, fixed-term and contract responsibility across enterprise, data, AI, solution, capability or programme architecture.

Strongest role matches

  • Principal Enterprise Architect
  • Chief Architect — Data, AI or Mission-Critical Systems
  • Principal Data Architect / Enterprise Data Architect
  • Enterprise AI Architect
  • Capability or Programme Architect
  • Principal Solutions Architect
  • Fractional Chief Architect

Scope I can own

  • Establish architecture direction and decision rights.
  • Connect mission outcomes to capabilities, requirements and delivery increments.
  • Define authoritative sources, semantic models, information flows, quality controls and traceability.
  • Profile data before migration, integration, analytics or AI use.
  • Align AI opportunities with governance, security, evaluation and system-level acceptance.
  • Produce decision-ready views for executives, delivery teams and assurance stakeholders.
  • Mentor architects and engineers while remaining technically engaged.

International working model

My current work authorisation is in Türkiye. International remote roles therefore need direct employment in Türkiye or an employer-of-record arrangement, a business-to-business contract with Canbek in Türkiye, or a fixed-term/advisory engagement contracted through Türkiye.

I am based in Ankara and can travel when required. I do not claim unrestricted employment eligibility in the United States, United Kingdom or European Union.

Discuss a senior role
ROUTE 02 · FOCUSED

Focused advisory and fractional leadership

For a difficult architecture decision or temporary senior ownership without creating a permanent role first.

ARCHITECTURE DIAGNOSTIC

Make the decision visible.

Clarify current state, decision drivers, constraints, architecture risks and a prioritised path forward.

Outputs: decision map, risk register, target principles, transition options and executive readout.

DATA QUALITY · AI READINESS

Test fitness before commitment.

Assess whether data is understandable, representative, traceable and fit for migration, analytics or AI use.

Outputs: profiling baseline, source comparison, remediation priorities, quality gates and acceptance evidence.

SEMANTIC · RELATIONAL

Resolve meaning and ownership.

Untangle inconsistent terms, entities, relationships and ownership across systems or organisations.

Outputs: controlled concepts, semantic mappings, logical or relational model, integrity rules and stewardship decisions.

AI ASSURANCE

Define what good means.

Connect dataset quality, model metrics, operational constraints and human oversight to the actual decision.

Outputs: evaluation framework, metric rationale, test design, failure conditions and acceptance criteria.

MISSION-CRITICAL REVIEW

Expose cross-layer risk.

Examine capability, requirements, interfaces, dependencies, evidence and delivery alignment.

Outputs: findings, traceability gaps, decision points, treatment options and governance recommendations.

R&D TECHNICAL EVIDENCE

Reconstruct the engineering progression.

Build a reviewer-ready technical chronology and evidence trail behind complex R&D work.

Boundary: technical evidence work, not tax or legal advice.

A controlled first step

Most advisory work should begin with a fixed-scope assessment. Before accepting an engagement, we agree the decision, evidence available, confidentiality boundary, stakeholders, outputs and acceptance criteria.

Scope an engagement
ROUTE 03 · SELECTIVE

Türkiye technology partnerships

For international firms whose technology and market intent fit my engineering, architecture and sector background.

Relevant areas

  • Defence software, C4ISR and mission systems
  • Simulation, training and test systems
  • AI, data and decision-support platforms for regulated environments
  • Cybersecurity, secure information sharing and AI assurance
  • Geospatial, indoor-location and operational-data technologies
  • Dual-use autonomy and systems integration

What I can contribute

  • Market and opportunity qualification
  • Requirements discovery and localisation
  • Ecosystem and partner mapping
  • Technical workshops and solution shaping
  • Bid/no-bid and architecture input
  • Local stakeholder and delivery coordination
  • Post-award technical liaison

Partnership boundaries

I do not offer privileged access, procurement influence or guaranteed outcomes. Every mandate requires a written scope and appropriate conflict, export-control, sanctions, anti-bribery and public-procurement checks. A fixed-scope technical and market assessment is the preferred start; commission-only representation is not.

Discuss a Türkiye partnership

FIT CHECK

Clarity protects both sides.

Strong fit

  • A difficult cross-organisational architecture or data decision.
  • Mission-critical or regulated delivery where traceability matters.
  • Fragmented data that must become governed and semantically coherent.
  • An AI initiative needing data-quality gates and defensible evaluation.
  • A senior role valuing strategy and engineering depth together.

Probably not the right fit

  • Pure commission-only sales representation.
  • Generic AI content or rapid prototype generation as the core role.
  • Pure MLOps or hyperscaler implementation requiring recent platform ownership.
  • Disclosure of classified, controlled or client-confidential information.
  • A role requiring work authorisation outside Türkiye without an available structure.

START WITH THE DECISION

Which route matches the decision in front of you?

Send the role or problem, intended outcome, timing, working model and why it is difficult. I will respond on fit and the most useful next step. Do not include sensitive, confidential or classified information.