01
Computer vision & image analysis
Image preprocessing, model integration, cell-segmentation pipeline comparison and interpretation of class-level or downstream results.
BSc project and submitted MSc dissertation
Skills
Practical capabilities.
Tools and methods used in my research and software projects.
02
Evaluation & research practice
Baselines, grouping and leakage checks, error analysis, traceable experiments, literature synthesis and clear statements of limitations.
Research projects and validation notes
03
Software & web engineering
Java application logic, persistent data models, interface design, validation, error handling and maintainable separation of concerns.
Academic application and personal software projects
04
Data science & machine learning
Data preparation, exploratory analysis, statistical reasoning, model comparison and reproducible interpretation of results.
Academic image-analysis projects