About
Curious about hard problems.
Focused on useful outcomes.
I am an MSc Computing student specialising in Artificial Intelligence and Machine Learning at Imperial College London, following a First Class BSc in Data Science from the University of Bristol.
My interests sit where applied research meets engineering: understanding a difficult problem, testing ideas carefully and turning the strongest approach into something practical. I am especially drawn to machine learning systems that demand both technical depth and clear judgement.
Across research, engineering, consulting and academic service, I have learned that strong technical work also depends on communication: defining the right question, making tradeoffs visible and explaining evidence clearly.
Capabilities
Tools in service
of the problem.
Skills are grouped by how they contribute to the work, rather than presented as a wall of logos.
AI and machine learning
- LLMs
- RAG
- Computer vision
- Multimodal learning
- Diffusion models
- Machine learning evaluation
- Applied research
Software engineering
- Python
- SQL
- JavaScript
- React
- REST APIs
- Git
- CI/CD
- Cloud
- MCP
Data science
- Data processing
- ETL
- Data visualisation
- Statistical modelling
- Experimentation
- Power BI
- Tableau
Consulting and delivery
- Problem discovery
- Stakeholder communication
- Requirements analysis
- Solution evaluation
- Technical communication
- Implementation
Certifications
Languages