Research implementations are listed first because they best represent my current technical work. Earlier software projects are retained as background rather than competing with the research narrative.
Implementation framework for class-incremental medical-imaging experiments across CT and MRI, including task-conditioned representations, sequence-aware adaptation, and evaluation of retention and forward transfer.
Code for the diagnostic MICAD study, including class-incremental and domain-incremental experiments, pretrained representation experiments, and patient-level attention-MIL.
Data-creation and implementation work supporting a comparative benchmark of 82 segmentation and classification models across full-image, patch, and superpixel labeling formats.
An early applied machine-learning project for diabetes-risk prediction through a Flask-based web interface.
Python · Flask · PHP · HTML/CSS · Bootstrap
Repository →A day-care booking and management system.
PHP · HTML · CSS · Bootstrap · MySQL · JavaScript
Repository →A browser-based chatting application backed by MySQL.
PHP · MySQL · HTML · CSS
Repository →Additional web projects, competitive-programming solutions, and software experiments remain available on GitHub without taking space from the research portfolio.
GitHub profile →For current implementations and reproducibility material, see the research repositories above or my GitHub profile.
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