DALL.E 2022 prompt

Hey there, I’m a UK-based AI Engineer and full-stack developer with a focus on building real-world Generative AI applications that solve communication, insight, and compliance challenges.

I’m currently working on www.chatterscript.com.

Alongside this, I’ve completed the Code Institute Full-Stack Software Development Diploma (2024–2025), where I trained in Python, Pandas, REST APIs, Agile delivery and built a supervised machine learning project in Jupyter Notebook (a classifier that detects mould in cherry leaves).

I’m passionate about creating AI tools that are safe, transparent and genuinely useful — especially in public-sector and communication contexts. This portfolio showcases my work, code samples, experiments and hands-on projects.

Feel free to explore my repositories below!

Sentiment Analysis for UK Government data sources: https://gov-sentiment-explorer.onrender.com/

Machine Learning: https://new-cherry-leaves.onrender.com/

Ai Assurance Project Repo: https://github.com/Katherine-Holland/Ethicali Test site: https://ethicali-streamlit.onrender.com/upload_validate Holding page: https://ethicali-5c3d4e2c504f.herokuapp.com/

AEO Tool for Ai discoverability: https://seekle.io/ Currently working on the Shopify version of the app.

• I specialised in Predictive Analytics with the Code Institute and studied Machine Learning with DeepLearning.AI and Stanford Online via Coursera (Taught by Andrew Ng). The latter course provides a broad introduction to modern machine learning, including: supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation. Andrew Ng also tells great Dad jokes.

In my spare time I like to create digital art. I also like prompting in LumaLabs.ai. Here's one of my favourite videos that I created:

LumaLabs.ai prompt