Building a framework for deploying ML models into production in a robust and scalable way. Concerned about popularity bias in recommendation systems. Improving skills in Python, TensorFlow, TensorFlow Serving, TFX, Kubeflow and gRPC. Recently took part in a virtual discussion with DataTonic on Personalisation and MLOps.

Continued to strive for high quality production code whilst expanding the NOWTV application to more territories. Mentored junior developers, guided technical discussion, and encouraged best practices for code reuse.

Responsibilities included adding new features, fixing bugs, and ensuring CI pipelines run smoothly. Notarized the NOW TV Mac app correctly to comply with macOS Catalina, retaining 100,000+ users. Improved skills in React, Redux, TypeScript, SCSS, and Ruby.

Completed a 1 week secondment in the Data Science and Machine Learning team, on an automatic content scheduling project, using Python. Involved data analysis, data transformation, and feature engineering.

Worked on a prototype Alexa skill/Google Home action, gaining experience with NodeJS and Alexa/Google Home APIs.

Worked with Peter to build boris-johnson-lies.com. Designed and built the site from scratch using GatsbyJS, backed with Contentful CMS and hosted on Netlify. Has had over 150,000 users in 3 weeks. Developed an interest in how fake news can be detected and eradicated.

Part time Masters in AI Ethics and Society, equivalent to a full time MPhil - a unique, multidisciplinary course that will give me the critical skills, knowledge and analytical abilities needed to identify and address ethical challenges as they arise in practice from the application of AI. See https://www.ice.cam.ac.uk/course/mst-artificial-intelligence-ethics-and-society for more info.

Intensive online course covering the fundamentals of machine learning, deep learning, NLP, and CV. Also involved a capstone project to design, develop and deploy a completely scalable machine learning system. Gained skills in Python, Scikit Learn, PyTorch, and end to end machine learning.

1st Class BSc Computer Science (Hons). Overall grade: 79%. Third Year Project: 85%

A Levels: Maths (A), Further Maths (A), Physics (B) Art AS (A). GCSEs: 6A*s, 4As, 1B. Head Boy in Yr13, House Captain in Yr12.