Is Your RSS Feed Lying to You? Temporal Purity When Ingesting Discord Engineering's RSS
I learned this the hard way while extending the NEPSE feature pipeline from my previous post. That pipeline guarded against macro-indicator leaka…
machine-learning
Engineering Temporal Purity: Building a Leak‑Free Feature Pipeline for NEPSE Prediction with Macro Indicators
When I first tried to predict the NEPSE index, my backtests looked too good to be true—overnight, I realized the daily features were secretly borro…
Detecting the Silent Killers: Production Data & Prediction Drift with Evidently AI on Discord RSS Feeds
When I first deployed a text‑classifier to tag Discord Engineering posts as “update” or “general”, I thought I’d nailed the problem. Weeks later, t…
How I Combined Permutation Importance and SHAP Waterfalls on Live Discord RSS Data
Ever built a classifier on blog metadata only to discover that the “important” features you were looking at were ghosts of data leakage? I hit that…
How I Built a Leak‑Free GitHub Repo Forecast Pipeline with Custom Scikit‑Learn Transformers
Ever deployed a model that suddenly started predicting wildly after a new repository appeared on GitHub? I hit that wall when a nightly batch job b…
Shrink Your Transformers: Pruning, Quantization & Distillation on Real‑World Discord Blog Data
Have you ever watched your cloud provider bill spike because an oversized sentiment classification transformer is hogging GPU memory during traffic…