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Real-Time Streaming Forecasts for Nepal's Stock Market: MLOps and Generative AI at Scale

Yesterday I tried to run my batch‑oriented liquidity forecaster on a live NEPSE feed and watched the latency balloon as soon as the order book turn…

Building an AI Liquidity Forecaster for Nepal's Stock Market

Have you ever tried building a predictive model for a frontier market like the Nepal Stock Exchange (NEPSE) only to watch your historical technical…

Taming the Torrent: Idempotent Incremental Ingestion for Dynamic Feeds with PySpark

When I first tried to pull the GitHub Engineering blog RSS feed into our lake, the pipeline kept re‑writing the same 10 posts every night and occas…

How I Detected Keyword Rate Shifts in the Netflix Tech Blog with a Bayesian Hierarchical Model

Ever stared at a handful of RSS entries and wondered whether “microservice” is suddenly trending or just fluking in the Netflix Tech Blog? I faced …

What I Learned Building Production-Grade Categorical Data Drift Detection with Chi-Squared

What I Learned Building Production-Grade Categorical Data Drift Detection with Chi-Squared

Have you ever deployed a machine learning model, only to see its performance mysteriously degrade over time, despite no changes to your code? I c…

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