
Jack Paine
Technology / Internet
About 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.
Experience
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
Education
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
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