What I do, and how I do it.

Five services. Zero engagement without upfront ROI definition.

AI Act compliantIntegrated LLM FinOpsGuardrails by design

AI Architecture Framework

Operating framework to design, industrialize and govern production AI systems.

Strategy & Scoping

Executive scoping, ROI prioritization, roadmap.

Data & Infrastructure

Resilient pipelines, storage, ingestion and quality.

Model & Orchestration

Model selection, training, updates and orchestration.

Deployment & Observability

CI/CD, monitoring, alerting, retraining triggers.

Governance & Security

Access control, traceability, compliance, risk review.

Trust signals

Method, governance and delivery discipline, no marketing claims.

Delivery discipline

Every engagement starts with structured framing: objectives, constraints, risks and acceptance criteria. Architecture is documented (ADRs, threat model, standards). Operations include observability, incident management and systematic post-mortems.

Security & governance

Least-privilege access (RBAC), audit trails and data classification at every layer. Integrated LLM safety: prompt evaluation, lightweight red teaming. GDPR compliance by design where applicable.

Artifacts (on request)

On request: Statement of Work and delivery plan, architecture diagram and runbook, risk register and DPIA checklist, FinOps cost model and capacity assumptions.

Documents and examples available on request.

Engagement models

Three formats to scope, design, and drive a production AI system.

Strategic AI advisory (executive scoping, prioritization, ROI)
AI architecture design (LLM/RAG, data platform, MLOps, security)
Technical leadership & oversight (architecture reviews, delivery oversight, standards)

Why me

Systems thinking
Production experience
Executive communication
Governance & security awareness
Cross-domain AI architecture

How I work

1

Discovery

Understanding context and objectives.

2

Design

Architecture proposal and action plan.

3

Implementation

Incremental and iterative delivery.

4

Handover

Team enablement and documentation.

Modern AI System Architecture

Data Sources

Ingestion

Warehouse

ML / LLM

API

Dashboard