AI & DevOps Engineer — I build the automation, infrastructure, and ML platforms that ship software (and models) reliably at scale.
DevOps engineer moving into AI/MLOps — passionate about automating, optimizing, and securing the full software and model delivery lifecycle. I specialize in CI/CD, GitOps, Kubernetes, observability, and cloud infrastructure, and I'm now applying that same rigor to machine learning pipelines and LLM-powered systems.
- 🔭 Currently building GitOps-driven Kubernetes platforms and ML/LLM delivery pipelines
- 🌱 Deepening my expertise in MLOps — model serving, experiment tracking, and AI infrastructure
- ⚙️ I believe great DevOps is invisible: developers ship, the platform just works
- 💬 Ask me about Kubernetes, GitOps/ArgoCD, observability (LGTM stack), or Go automation
- 📫 Reach me via kanzal.com
Cloud & Containers
CI/CD & GitOps
Observability
Languages
A selection of my work in infrastructure automation, GitOps, and AI/MLOps.
| Project | Description |
|---|---|
| gitops | Replicable, low-templating GitOps workflow for managing ArgoCD across multiple Kubernetes clusters. |
| homelab | Self-hosted Kubernetes homelab — infrastructure-as-code for my personal cloud. |
| system-setup | Automated, reproducible developer-environment provisioning. |
| crypto trading bots | Go-based DCA & automation bots (Bitfinex, CoinEx, KuCoin) demonstrating production Go + scheduling. |
(More projects pinned below ⬇️)
"Automate everything that's worth doing twice."