.NET • AWS • Kafka • Kubernetes
Building scalable applications, event-driven architectures and cloud-native systems.
Began the journey building enterprise business applications with C# and ASP.NET — learning to ship reliable software inside large systems.
Delivered table-driven, data-heavy enterprise tooling used by international organizations to run their operations.
Collaborated across borders and time zones — code reviews, shared standards, and coordinated releases at organizational scale.
Moved workloads into the cloud — AWS and Azure — embracing managed services, infrastructure as a mindset, and elastic scale.
Decomposed monoliths into independently deployable services with clear contracts, ownership boundaries, and resilience.
Designed systems that span machines and regions — embracing partial failure, idempotency, and eventual consistency.
Built asynchronous, message-first platforms on Kafka, SNS and SQS — decoupling producers from consumers at scale.
Engineered real-time, low-latency backends processing live sports and casino data with sub-millisecond storage tiers.
The next chapter — designing AI-powered, cloud-native systems. Certified on Azure AI (AI-102).
Personal Project · First Major Build
Where it started — full-stack from the ground up.
A web platform for tracking workout progress and training routines. My first major project and the foundation of everything that followed.
International Enterprise Platform
Enterprise complexity, tamed through data.
An international enterprise platform helping organizations manage yearly budgets through advanced, table-driven interfaces with live calculations across massive data grids.
Flagship · Distributed Platform
A distributed platform spanning Europe and the UK.
A large-scale distributed platform supporting voucher and stampcard systems across Europe and the UK — event-driven, cloud-native, and built across multiple collaborating teams.
High-Performance Real-Time Backend
Real-time data at the speed of the game.
Backend services for sports betting and casino systems — high-performance, real-time data processing with event-driven pipelines and tiered, scalable storage.
The core craft — services built to last.
Primary language across every platform.
Hover the nodes to explore the stack.
A look under the hood of the Takeaway voucher platform — an event-driven, cloud-native system spanning Europe and the UK. Scroll to watch the architecture assemble, stage by stage, as live events flow through it.
Producers and consumers decoupled through Kafka, SNS and SQS — resilient to failure, independently scalable.
Clear ownership boundaries and contracts so teams ship in parallel without stepping on each other.
Containerized on Docker, orchestrated with Kubernetes, backed by managed AWS services.
DataDog, Grafana and Prometheus turn distributed traces into a single, legible picture.
Plan and Manage Azure AI Solutions
The same instincts that scale distributed systems now point at intelligence. Building AI-powered, cloud-native products is the next horizon.
Image analysis, OCR and spatial understanding wired into production pipelines.
Designing systems around LLMs — orchestration, grounding, and reliable tool use.
Planning and managing Azure AI solutions at scale, the cloud-native way.
The technologies I run in production today — modelled as a living distributed system. Scroll to watch each layer come online and data flow through the stack.
Typed JavaScript for safe UIs.
Hover any service to inspect its role in the system.
Building scalable systems today. Engineering intelligent systems tomorrow.
Alongside distributed systems and cloud-native architectures, I am actively exploring intelligent systems, AI-powered automation, and modern LLM applications — built on the same foundations that make backends reliable at scale.
Grounding language models in real knowledge.
Models that act — not just answer.
Where I'm pointing my engineering next — autonomous systems, retrieval, and intelligent automation built on a distributed-systems foundation.