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Weekend Project: I Built a Full MLOps Pipeline for a Credit Scoring Model (And Y...
A small fintech startup was looking for someone to take their credit scoring model and make it production-ready. The project was m...
The Machine Learning Stack Is Being Rebuilt From Scratch Here's What Developers...
The ML stack is being rebuilt. In 2026, developers need to master foundation model routing (frontier vs. efficient), multi-agent o...
The Missing Layer in AI Reliability: Replayable Requests
Much of the discussion around responsible AI focuses on ethics, governance, and policy. But responsible AI also requires something...
Lessons From Designing Production AI Architectures
Production AI success depends more on systems engineering than model quality. Retrieval, latency, observability, guardrails, cost...
Why AI Agent Reliability Depends More on the Harness Than the Model
The APEX-Agents benchmark tested frontier models on real professional tasks (banking, consulting, law) Models score above 90% on c...
What DevOps for Data Really Means
DevOps for Data is not about fixing pipelines or deploying models. It’s about designing systems that remain reliable, secure, and...
Stop Parsing Nightmares: Prompting LLMs to Return Clean, Parseable JSON
- Natural-language LLM outputs are great for humans but painful for code; you need strict JSON to automate anything reliably. -...
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...
