Design and operate edge-to-cloud systems combining IoT devices, cloud infrastructure, real-time data pipelines, and observability.

End-to-end systems, not isolated components

• Edge devices and data acquisition
• Secure data transmission and offline resilience
• Cloud infrastructure and time-series data platforms
• Observability, monitoring, and alerting
• APIs and user-facing applications (web and mobile)

Built and operated in production

• 100+ IoT devices across Europe and Latin America
• ~30 million records per month ingested into AWS
• Full system: edge -> cloud -> analytics -> mobile
• Real-time alerting and monitoring
• Architecture later adapted and reused for another client

CTO-level involvement

• System architecture and technical decision-making
• Stabilisation of unreliable or evolving systems
• Scaling data pipelines and infrastructure
• Supporting engineering teams with clear technical direction

Engagement

• Part-time CTO support
• Focused technical interventions
• Advisory for system design and evolution

System Architecture Review

A focused review of your system to identify the highest-impact risks, constraints, and technical decisions.

In 1-2 weeks, I analyse your architecture, data flows, and operational setup, and provide a clear, prioritised view of what matters most.

The outcome is a concise set of findings and recommendations you can act on immediately.

• Architecture and system walkthrough
• Identification of reliability and scalability risks
• Key technical trade-offs and decision points
• Risk posture and stabilisation priorities
• Prioritised actions

Often used as a starting point before deeper CTO involvement.

Operational track record (IoT & data systems)

• Owned reliability across edge-to-cloud telemetry flows, with clear operational targets and failure handling.
• Led incident response for real-time data pipelines, restoring service quickly and reducing repeat failure modes.
• Balanced device, network, and cloud security requirements across distributed deployments and sensitive data paths.
• Made cost versus performance tradeoffs in ingestion, storage, and processing to keep systems efficient at scale.
• Coordinated multi-country rollout governance across vendors, infrastructure, and local operational constraints.

Details shared in context, with discretion.

When this becomes relevant

• Systems becoming unreliable or hard to scale
• Architecture decisions with long-term impact
• Need for clear technical direction and accountability
• Increasing delivery or operational risk

How I work

I work directly on systems and decisions that affect reliability, scalability, and delivery. I stay close to the architecture and implementation, focusing on the smallest changes that improve outcomes without adding unnecessary process.

About

I work with founders and boards where technical decisions materially affect time-to-market, reliability, and company risk. My focus is pragmatic: the smallest set of changes that improves outcomes quickly and sustainably.

My work spans major infrastructure environments — telecommunications, energy, and industrial systems — where strategic technology decisions shape operational outcomes.

Prior operating work is available separately when relevant.