A digital notebook and portfolio documenting hands-on experiments, research, and projects in machine learning and software engineering.
Recent insights and articles
Finding suspicious images in a dataset using an unsupervised anomaly detection pipeline with CLIP embeddings, multi-dimensional PCA sweeps, and per-class Isolation Forests.
Building a robust classification pipeline using clustering centroids to categorize unseen images, filter out anomalies with confidence thresholds, and benchmark against zero-shot CLIP.
Combining modern embeddings with traditional ML: how to use CLIP, PCA, and K-Means for unsupervised image labeling.
How I built a live rain map for HCMC using traffic cameras and Uber H3 hexagons.
How I Merged Multiple Git Repositories Without Losing History. A Guide to Consolidating My Android Projects
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