SLURM Exporter
Custom Prometheus exporter replacing an inaccurate legacy setup; parsed live compute usage, eliminating 10–20% errors and enabling better partitioning + visibility.
Portfolio
Hi, I’m Bradley Davy
Research Software Engineer • HPC & GPU Acceleration
Research Software Engineer specialising in high-performance and GPU-accelerated computing. I partner with scientists to scale and optimise research workflows. Ph.D. in physics; motivated by practical impact and tough technical challenges.
Who I am
About
I’m a Research Software Engineer focused on high-performance computing and GPU acceleration. I work closely with scientists to scale and optimise their research, bringing a rigorous, physics-driven approach to problem-solving and software design.
Interests: HPC, numerical methods, physics simulations, and practical applications of large-language models (RAG, inference on accelerators). I enjoy building tooling that makes complex workflows reliable and fast.
Fast facts
- 🎓 Ph.D. in Physics (Fluid Dynamics)
- 🖥️ HPC • MPI • GPUs • Slurm
- 📦 Linux • Docker • Prometheus
- 📍 Sheffield, UK
What I’ve built
Selected Projects
Engineering Department LLM
RAG system over internal technical docs; end-to-end pipeline with open-weights, Dockerised services, and accelerated inference on Nvidia A100s.
What I use
Skills
Where I studied
Education
Sep 2020 — Aug 2024
Ph.D. – CDT in Fluid Dynamics (School of Computing) • University of Leeds
Computational physics and fluid dynamics; large-scale simulation and HPC workflows.
Sep 2020 — Jul 2022
MSc – Fluid Dynamics (Merit: 69.56%) • University of Leeds
Advanced methods for continuum mechanics and numerical modelling.
Sep 2016 — Jun 2020
BSc – Physics (First Class: 81%) • Sheffield Hallam University
Physics with strong emphasis on mathematics and computation.
Where I’ve worked
Experience
Nov 2024 — Present
Research Software Engineer • OCF
Delivering performant, scalable scientific software across the research stack. Focus on optimisation, parallel programming, and GPU acceleration; partnering with domain experts to ship robust HPC workflows.
Apr 2024 — Nov 2024
Research Software Engineer • University of York
Built and maintained Python/JavaScript tools and APIs to support research. Containerised deployments with Docker; iterated with academics to meet objectives and integrate with existing workflows.
Say hello
Let’s work together
Drop me a line
I’ll get back to you in 1–2 business days.
Info
📍 Sheffield, UK
📅 Open to opportunities (RSE/HPC/ML)