Teaching 2-3 lab classes a week for second year Databases module in the autumn term and 2 lab classes a week for third year/MSc Advanced Natural Language Processing module in the spring term.

- Working with non-profit organisations in analysing discourse in various social media platforms and the web- Building in-house data collection pipelinesPublications related to some of the projects that I was involved in:- https://beamdisinfo.org/wp-content/uploads/2022/11/signal-2022-11-01-122106.pdf- https://www.isdglobal.org/isd-publications/the-german-far-right-online-a-longitudinal-study/

- Taught 4 lab classes a week for Databases module.- Answered student queries related to the Databases module.

Applied Natural Language Processing techniques to a collection of text to be visualised on maps, as part of the Mass Observation Visualisation project, in collaboration with the Linguistics department.- Created a Python library that extracts linguistics data, including the frequencies of different word senses using Word Sense Disambiguation tools, from a collection of texts (8982 documents).- Developed a web API that queries the extracted linguistics data and outputs frequencies and PMI values.- Created a visualisation web app for the metadata of the Mass Observation projectTechnologies used: Python, Spacy, FastAPI, MongoDB, Streamlit

Assisted lab tutor by helping first-year students and answering queries in Introduction to Programming and Further Programming weekly lab sessions.

A 1-year internship with the Adaptive Intelligence Apps team, which is the team responsible for adding machine learning to Oracle's applications. Specifically, I was part of the Framework team, that develops the machine learning framework to be used by applications teams.For the first half of the internship, I was a part of the Framework Consumer Success team, supporting application developers in using our framework components. My main projects included maintaining and updating an example application that acts as a guide on how to use the framework components, and creating an automated end-to-end test for the framework.Then for the second half of the internship, I joined the Core architecture team that develops the framework components, using Kanban agile methodology. I was involved in implementing new features, fixing bugs, as well as maintaining the framework.Technologies used: Java, Docker, Kubernetes, Git, Oracle Cloud Infrastructure, Bash, Jenkins

- Created desktop application using Electron and ReactJS. The application is currently used by the finance department to compare payment transactions data in two Excel files with different formats.- Developed OLX PWA (Progressive Web App) by implementing React-Redux and React-Loadable, and added caching functionality using service worker.- Learned how to use ReactJS' Server Side Rendering and React-Router- Also came across the following: version control (Git and GitHub), Agile software development, unit testing (Mocha and Chai).