Education & Experience
Education
- 10/2026 – Present
PhD, Aeronautical Computational Engineering
Imperial College London — Department of Aeronautics, Nektar++
- Novel algorithms for load rebalancing of adaptive mesh simulations on heterogeneous clusters.
- Industrial partners: McLaren F1, Rolls-Royce, and UKAEA.
- Contributing towards the development of Nektar++.
- 09/2022 – 06/2026
MEng Mechanical Engineering
University of Bristol
- Mechanical Engineering Performance Prize (Valedictorian).
- Bechtel Industrial Project Group Prize (Best Master's project).
- IMechE Best Student & IMechE Best Project.
- Master's Project: Sensing, Imaging and Signal Processing.
- 07/2024 – 07/2025
University Year Abroad
Queensland University of Technology
- GPA: 6.875/7
- 09/2020 – 07/2022
A Levels
Harris Westminster Sixth Form
- Physics, Chemistry, Mathematics, Further Mathematics
Experience
- 06/2026 – 09/2026
SWE Intern
Cloudflare
- Developed the Data Centre Security & Compliance Portal, a web-based tool with new automation workflows for the DCSC Team.
- Designed a full Vision-Language Model Pipeline to extract text data from PDFs and PNGs running on Cloudflare hardware with asynchronous task completion.
- 07/2025 – 09/2025
Data & Analytics Intern
Salute (previously Northshore)
- Developed and automated data pipelines using Python, Power BI, and Power Automate.
- Designed algorithms for automated error detection, removing the need for human data handling.
- Optimised ETL workflows and transitioned systems to an ELT architecture using SQL, processing over 2 million data points per hour.
- 11/2024 – 04/2025
Concentrated Solar Power Research Intern
Queensland University of Technology
- Developed and validated ray-tracing and performance models for Linear Fresnel Reflectors (LFR).
- Incorporated environmental data to achieve predictions within 1% of reference systems.
- Implemented multi-threading, reducing simulation runtime by 79%.