Passionate about data. Analyzing trends. Building models. Connecting tech with business needs.
New projects and articles, as they're added.
A personal platform for investment tracking and AI-assisted insights.
How models, tools, context management, and validation fit together in an agentic coding workflow.
A practical guide to Python setup with uv, version control with Git, and automation that reduces engineering friction.
Three lessons about writing understandable code, trusting data, and building things that others can maintain.
A mix of personal and academic projects.
Building a personal platform for monitoring investments, organising financial data and exploring AI-assisted insights. A public case study is in preparation.
Case study coming soon
Built a multivariate time-series deep learning model using behavioural data from more than 12,000 users to forecast app usage.
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Used BERT and Hugging Face Transformers to classify film-review sentiment, with attention to the model development workflow.
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Analysed smartphone behaviour and compared forecasting methods to understand trends and changes in app usage.
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Explored neural network architectures for turning grayscale images into plausible colour images, comparing reconstruction quality and perceptual similarity.
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Combined collision records, weather and speed-limit data to explore road safety patterns and model accident severity.
Read case study →Thoughts on AI, data and putting ideas into practice.
Writing · Applied AI
How models, tools, context management, and validation fit together in an agentic coding workflow.
Writing · Engineering workflows
A practical guide to Python setup with uv, version control with Git, and automation that reduces engineering friction.
Writing · Engineering reflections
Three lessons about writing understandable code, trusting data, and building things that others can maintain.
Interested in exchanging ideas on applied AI, data engineering or building useful technology?