Kubernetes Streaming Lists
Why watch-list streaming reduces memory pressure in large Kubernetes clusters and how to use it from Go.
Read article Software Engineer
Building systems that stay fast, reliable, and useful under real load.
I work across Kubernetes, backend platforms, and applied AI, with a strong bias for clear architecture, production reliability, and practical engineering decisions.
My background spans fintech, analytics, and developer tooling, and I write here about the parts of systems work that become visible only when software meets scale.
6+ years
Shipping backend and product systems in production.
MSc AI
Completed with distinction at Nottingham Trent University.
Cloud-native
Kubernetes, operators, messaging pipelines, and platform tooling.
What I work on
These are the areas where I spend most of my energy, both in delivery work and in the ideas I write about.
Kubernetes
Operators, discovery flows, cluster APIs, and the performance details that matter at scale.
Backend Platforms
Go, Python, and .NET services designed for maintainability, throughput, and clean evolution.
Distributed Systems
Queues, event-driven workflows, and data pipelines that stay understandable under pressure.
Applied AI
Machine learning work grounded in real engineering constraints such as latency, memory, and deployment.
Featured writing
The latest technical note from the blog, focused on practical systems work rather than theory alone.
Tools and domains
A practical mix of languages, infrastructure, and systems concerns that tends to show up in my work.
Go Python C# Kubernetes Docker AWS Azure PostgreSQL Redis SQS/SNS