Software Engineering
Go, Kubernetes, and engineering in the AI era.
I build backend services and operators in Go across the Kubernetes ecosystem — and I work hands-on with AI-assisted engineering to find what actually works.
What I Focus On
The Kubernetes Ecosystem
Working across the Kubernetes ecosystem: writing operators and controllers in Go, managing workload lifecycles, and the GitOps and observability practices that keep clusters maintainable rather than just running.
Go for Backend Services
Go is my main language for backend work — concurrent services, APIs, and the small, sharp command-line tools that hold a platform together. I care about code that is clear to read and boring to operate.
Kubernetes Security & eBPF
Going deeper into the security side of the ecosystem — cluster hardening, network policies, and workload isolation — and the eBPF-based tooling that makes networking, observability, and security visible at the kernel level. This is where I'm putting most of my learning right now.
AI-Assisted Engineering
Using LLMs and coding agents in day-to-day engineering, with a bias toward what actually holds up. Less hype, more practice: where these tools genuinely speed up design, review, and testing — and where they quietly add risk or noise.
Core Technologies
Go (Golang)
Building high-performance, concurrent backend systems and resilient microservices.
Kubernetes
Orchestration at scale. Designing operators and managing complex container lifecycles.
Cloud Native
Architecting distributed systems that are elastic, observable, and loosely coupled.
AI-Assisted Dev
Using LLMs and coding agents in real engineering work — pragmatically, with attention to what holds up in production.
Linux & eBPF
System-level work close to the kernel — tuning, eBPF-based observability and networking, and automation for high-performance environments.
Security
Implementing secure-by-design principles, container hardening, and robust network policies.
Connect
Happy to talk about Go, Kubernetes, or getting real value out of AI-assisted engineering.
Visit my LinkedIn Profile →