Specializing in HPC, AI/ML Infrastructure, and Linux Systems
MSc in High Performance Computing, EPCC, University of Edinburgh β’ Red Hat Certified System Administrator (RHCSA) β’ Slurm & Kubernetes β’ InfiniBand/RDMA & Lustre

Red Hat Certified System Administrator with an MSc in High Performance Computing from EPCC, University of Edinburgh. Focused on administering Linux HPC and GPU clusters β job scheduling, high-speed interconnects, parallel filesystems, and the operational tooling that keeps large-scale AI/ML workloads running.
Hands-on administration and operations across world-class supercomputing clusters: TeamEPCC H100 cluster, ARCHER2, Cirrus, PSC Bridges-2, DKRZ Levante, and the EIDF Kubernetes/Kueue GPU cluster.
Practical benchmarking and optimization experience across diverse hardware accelerators including NVIDIA A100, H100, H200, AMD Instinct MI210, MI300X, and Cerebras CS-3.

EPCC, University of Edinburgh
Parallel programming (MPI, OpenMP), performance optimization, HPC architectures, and large-scale systems β at one of Europeβs leading supercomputing centres.
Red Hat
Package management (dnf/rpm), SELinux & firewalld, Podman containers, users & groups, storage (LVM, NFS, XFS, EXT4), networking, systemd, kernel modules.
The Linux Foundation β in progress
kubeadm, CRDs, cluster setup, networking, Ingress, Helm, Kustomize, storage (PV, PVCs), RBAC, troubleshooting.
NVIDIA β in progress
Base Command Manager, Slurm, Kubernetes/Kueue, InfiniBand, run:ai, MIG, GPU scheduling.
Distributed LoRA fine-tuning pipelines for large language models, optimized for performance across heterogeneous accelerator clusters. Focused on scalable training, reproducibility, and benchmarking across GPU and wafer-scale systems.
Open-source Linux operating system and GUI stack used by 500,000+ users globally as a daily driver. Focused on system reliability, modular build pipelines, and long-term maintainability across diverse hardware. Features a vibrant community on our support platforms.
Production-grade Retrieval-Augmented Generation (RAG) system for large-scale document analysis. Built scalable NLP pipelines for embedding, indexing, and LLM-based inference using containerized microservices.
High-performance real-time communication platform supporting thousands of concurrent WebSocket connections. Designed for low-latency messaging, horizontal scalability, and production cloud deployment.
Outside of building distributed systems and optimizing ML pipelines, I'm a performing drummer with 30+ live shows across indoor venues and arenas. Music brings the same creative problem-solving and rhythm that drives great engineering.


