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…
Remittance vs NEPSE: A Leak‑Free Correlation Pipeline Ever noticed a “perfect” correlation between Nepal’s remittance inflows and the NEPSE index, only to discover the numbers vanished once you looke…
How I Cut LLM Inference Costs in Half with Batching, Caching, and Quantization Ever watched your LLM‑powered summarizer churn out a dozen Cloudflare blog posts and saw the API bill climb faster than the headlines? I was ther…
How I Turbocharged a Discord RSS ETL Pipeline with `uv` and `pyproject.toml` Ever spent an hour watching `pip install -r requirements.txt` spin forever while a nightly ETL job silently failed because a library version drif…
How I Built a Self‑Healing LLM Pipeline for Real‑Time Nepal Financial Event Extraction Ever scraped a Nepali financial news headline only to realize the underlying event—“NEPSE listed a new IPO” or “Bank X raised its dividend”—was los…
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…