Technology leadership · Digital transformation · Systems architecture
I work from problem definition through architecture and execution—across Industrial IoT, enterprise platforms, cloud, networking and real-time systems. The objective is always the same: a clear technical direction that teams can deliver and organisations can sustain.
About
I help organisations understand difficult business, operational and engineering problems before choosing a technology. That means examining workflows, constraints, dependencies and stakeholder needs, then creating an architecture and roadmap that can move from decision to production.
My work spans industry, technology consulting and academia. This brings first-principles engineering together with the realities of production systems, product delivery and organisational execution—without treating the technology as an end in itself.
Overarching capability
I connect organisational objectives to system design: analysing processes and bottlenecks, translating business needs into requirements, modernising legacy systems, introducing automation, and applying AI/ML where it has a defined purpose.
The result is an executable roadmap with clear workstreams, technical dependencies and engineering decisions aligned to business objectives—not a cloud migration or tool adoption exercise presented as transformation.
Technical depth
Technology expertise supports the wider task: selecting appropriate patterns, managing trade-offs and building systems that remain operable as requirements change.
Device-to-cloud architecture for telemetry, command and control, edge computing, gateways, provisioning and IoT security. Experience spans LPWAN, LoRa/LoRaWAN, NB-IoT, Cat-M1, ZigBee, BLE, MQTT, CoAP, industrial communication, time-series data and scalable backends. SCADA is one industrial integration context—not the defining capability.
Enterprise-grade platforms that translate complex workflows into secure, scalable and maintainable systems using APIs, microservices, relational and NoSQL databases, time-series storage, event-driven systems, queues, containers, observability and DevOps practices.
Private and public cloud, VPCs, containers, Kubernetes, microservices, serverless patterns, distributed applications, high availability, observability and secure service-to-service communication.
Architecture decisions across MQTT, AMQP, CoAP, HTTP/HTTPS, REST, WebSockets, WebRTC, SIP, SSH, message brokers, Kafka, event streams and enterprise integration—balancing latency, reliability, throughput, scalability and interoperability.
Real-time video, WebRTC, RTSP-based workflows, low-latency media delivery, signalling, and combined telemetry + video architectures for distributed systems.
How I solve problems
Identify the actual business, operational or engineering problem before selecting technology.
Turn stakeholder needs into technical requirements, constraints and decision criteria.
Choose platforms, protocols, infrastructure, data models and integration patterns deliberately.
Organise the architecture into realistic, prioritised and measurable workstreams.
Coordinate engineering teams and stakeholders to move from plan to production.
Improve security, reliability, observability, performance and maintainability as the system matures.
Selected technology work
These capability-based summaries avoid confidential client details and unverified outcomes.
Leadership
Strong engineering teams perform best when expectations are clear, people are heard, disagreements are handled respectfully, and individuals have the psychological safety to do their best work.
I lead distributed, multidisciplinary teams with an emphasis on ownership, reliability and a willingness to learn. Technical brilliance matters, but it is not a substitute for character, collaboration or leadership. The aim is to minimise avoidable churn, keep commitments visible and create sustainable conditions for consistently good delivery.
Insights
Practical frameworks for reasoning about complex systems—without invented case studies or marketing metrics.
Industrial IoT
Design principles for device identity, intermittent networks, telemetry contracts and operational resilience.
Read insightApplied AI
How purpose, human oversight, data governance and monitoring should shape AI-enabled systems.
Read insightPlatform architecture
Boundaries, incremental change and operational feedback for evolving important systems safely.
Read insightContact
If you are defining a transformation programme, resolving a systems architecture challenge, or moving a connected platform from concept to delivery, I would be glad to understand the context.