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When the System Works but the Data Lies: Notes on Survivorship Bias in Large-Sca...
Most ML pipelines fail quietly, not through outages, but through data that looks valid while slowly drifting away from reality. Su...
Scalability Lessons From Building an AI Learning Platform for Healthcare
Scaling AI in healthcare isn’t about more compute or microservices. It’s about scaling trust, compliance, and usability. Drawing o...
Why Multimodal AI Broke the Data Pipeline — And How Daft Is Beating Ray and Spar...
Multimodal AI workloads are breaking Spark and Ray. See how Daft’s streaming model runs 7× faster and more reliably across audio,...
Transform Your Ops with a Unified Agent and SOP Structure
A deployable blueprint for LoA-3 “agents on rails”: SOP-first (YAML), UC-wrapped tools (SQL + Model-as-Function), a LangChain tool...
Building a Lambda-Style Feature Platform with GCP Native Services
This article explores how we built a zero-ops, lambda-style feature engineering platform using Google Cloud’s native services. By...
How to Deploy Vertex AI Workbench with Terraform — Without UI Pain
Vertex AI Workbench is a managed Jupyter environment in Google Cloud. It ships with native integration with BigQuery and Cloud Sto...
