Jack Paine

Driven software engineer with expertise in machine learning and data science. Experience using Python, Rust and Java, as well front-end development with JavaScript. Extensive work with ML frameworks including PyTorch and Keras. Proven success collaborating in multi-disciplinary environments as well as independent ventures, including a self-developed Android application with over 250,000 installs.

Machine Learning Research Engineer Inclusive Financial Technology Hub

Full-time Apr 2024–Present

• Leading development of Python package for creating and evaluating AI text generation pipelines
• Managing Git repositories and providing detailed Python code reviews for colleagues via GitHub
• Analysing and effectively using large datasets for model evaluation with HuggingFace and Pandas
• Developed CI/CD tool in Rust for managing development environments, enhancing team collaboration
• Tech stack: Python / PyTorch / HuggingFace / Pandas / Rust / JavaScript / Node / Git

Python Developer Sir Peter Mansfield Imaging Centre

Paid Internship Jan–Apr 2024

• Independently produced software for generating synthetic MRI scans from profile photos
• Led end-to-end development process, from requirements gathering to implementation and testing
• Collaborated with stakeholder to reiterate user interface and graphical design
• Tech stack: Python / OpenCV / MATLAB

Junior Front-End Developer Torchbox

Full-time Sep 2019–Mar 2020

• Collaborated with UX Designers to develop front-end features for the University of Oxford website
• Designed and developed features for Wagtail (open-source CMS), such as logo animations and error pages
• Provided technical support for high-profile enterprise clients including Carnegie Mellon University
• Tech stack: HTML / JavaScript / jQuery / CSS / Sass / Git

MSc Machine Learning in Science Master of Science With Distinction

University of Nottingham, 2023–2024

• Key Projects: Autonomous drone flight with reinforcement learning, language model decoder optimisation
• Dissertation: Optimising Neural Text Generation via Transition Path Sampling

BSc Computer Science and Artificial Intelligence Second Class Honours, Upper Division (2:1) Loughborough University, 2020–2023

• Key Projects: Computer vision for autonomous driving, Google Cloud Compute, malware analysis
• Dissertation: Estimating Age and Gender from Facial Images Using Deep Neural Networks