View my CV or download below.


Programming and Developmemt

Node.js | Next.js | React | JavaScript | HTML | CSS | Python | Flutter | Java | SQL | NoSQL

Amazon Web Services (AWS) | GCP | Git | Bitbucket


Loughborough University

Oct 2021 - Sept 2025

- UK Computer Science BSc

Reepham Sixth Form College

Sept 2019 - Jun 2021

- Physics (A), Maths (A), Computer Science (B)

Work Experience

Full Stack Engineer Placement


July 2023 - Present

  • - Web Application Development: Spearheaded the design and development of several diagnostic, analytical and visualisation web applications, ensuring seamless user experience and functionality.
  • - Machine Learning Integration: Successfully integrated Python-based ML models into cloud services, converting them into microservices for improved scalability and functionality.
  • - Cloud Deployment: Utilised AWS for deploying web apps and microservices, ensuring optimised performance and security.


ML Integrated Web Applications electronRx, Oxcitas

electronRx, Oxcitas

  • - Developed a suite of full-stack web applications leveraging Machine Learning models, each with a specialized dashboard and cloud-based microservice architecture. Key applications include:
    • - Dementia and brain age diagnostic tool using MRI analysis.
    • - Ten-year mortality risk calculator for insurance, presented to and recognized by Swiss Re.
    • - Biological age estimator based on blood biomarkers.
  • - Managed the transition of Python ML models into microservices, streamlining scalability.
  • - Collaborated with a team of machine learning specialists from Oxcitas to enhance model performance and integration.
  • - Node.js | React | Next.js | Python | Tailwind CSS | SQL | AWS

RxCloud Data Visualisation Platform


  • - Engineered a robust data visualization web application to interface with a Software as a Medical Device mobile application, facilitating real-time result streams.
  • - Orchestrated the development of a comprehensive cloud-based data processing pipeline, originally conceptualized by electronRx's data science team, to ensure seamless data flow from patient recordings to processed outputs.
  • - Designed and implemented a bespoke visualization platform to provide insightful analytics, enhancing the value chain from data acquisition to decision-making.
  • - Node.js | React | Next.js | Python | Tailwind CSS | SQL | AWS | GCP (Firebase)

Key Strengths

  • - Collaboration
  • - Rapid learning and adaptability
  • Proactive nature
  • - Logical thinking/problem solving