IIPortrait to come

I am an MSc Computing student specialising in Artificial Intelligence and Machine Learning at Imperial College London, following a BSc in Data Science with First Class Honours 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.

Education

2023 – 2026
BSc Data Science · First Class HonoursUniversity of Bristol
2026 – 2027
MSc Computing, AI & MLImperial College London

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

Machine Learning SpecializationDeepLearning.AI · Stanford Online · Coursera
Google AI EssentialsGoogle
Technology Job SimulationDeloitte Australia · Forage
Wealth and Personal Banking Job SimulationHSBC · Forage
Credit Analyst Job SimulationStandard Chartered · Forage

Languages

ChineseNative or bilingual proficiency
EnglishFull professional proficiency