Projects
Side projects, paper implementations and homelab experiments.
distributed systems, infra and federated learning. everlearning.
I’m a final-year Computer Science student at the University of Surrey, currently researching federated learning.
I recently finished a 15-month placement as a Software Engineer at Eli Lilly, where I worked on distributed systems and platform engineering, with a growing focus on agentic AI: the infrastructure that lets AI agents run reliably inside a large organisation. I’m also an AWS Certified Solutions Architect – Associate.
On the side, I run a Kubernetes homelab built on k3s across a small cluster of Ubuntu nodes, which I’m growing into a highly available, multi-server control plane. Everything is managed through GitOps with Flux, with Traefik handling ingress. It’s where this site, my blog, and my projects live, and it’s my playground for learning how production infrastructure behaves when I’m the one on call.
I learn best by building. Many of my side projects implement papers from scratch, like a MapReduce framework in Java.

Things I build, read and write about, shared as I go.
Side projects, paper implementations and homelab experiments.
Essays on distributed systems, platform engineering and applied AI.
Quick takeaways, snippets and things I learned along the way.
Papers I have read, currently reading or have read.