Projects

The main work collected here includes a research software platform and a notebook-based medical imaging study. Each entry is framed around the problem being addressed, the approach taken, and the artifact that remains available for inspection.

2 records

Research Platform · Ongoing

Refract

A research workspace for reading papers, saving evidence, comparing sources, and running analysis without losing the working context that connects those steps.

Problem

Research work often breaks across PDFs, notes, comparison tables, datasets, and analysis notebooks. Once those pieces separate, conclusions become difficult to trace back to source material.

Approach

Refract treats the session as the main object. Papers, saved passages, comparison outputs, uploaded files, and analysis runs all belong to the same working frame.

Output

A Next.js and FastAPI application with reader, compare, and statistics surfaces backed by persistent project/session state.

I designed and built the session model, reader flow, evidence storage, comparison surfaces, and analysis structure.

Next.jsFastAPIPostgreSQLPythonChromaDBLLM systems

Read Project

Medical Imaging Research · Notebook-based study

Alzheimer’s Disease MRI Research

A Google Colab MRI classification study that keeps image inspection, preprocessing, staged labels, CNN training, and comparison visible in the notebook record.

Problem

Medical imaging experiments can become difficult to judge when the final score is separated from the images, preprocessing choices, label structure, and evaluation path.

Approach

The notebook keeps the study sequence visible: MRI inspection, image resizing, augmentation, four-class labeling, CNN training, and ensemble-oriented comparison.

Output

A repository-backed Colab notebook and supporting image outputs that show the experiment as a reproducible sequence rather than a polished clinical claim.

TensorFlowKerasGoogle ColabMRI imaging