MLOps & LLMOps
Data Versioning with DVC: Building Reproducible MLOps Pipelines
Connect Git revisions, DVC artifacts and pipeline dependencies to reproduce experiments and recover approved releases.
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INSIGHTS
Technical insights for
modern engineering teams.
Architecture patterns, technical deep-dives and practical lessons across AI, data, cloud and platform engineering.
MLOps & LLMOps
Demystifying MLOps: From Model Development to Reliable Production
An engineering view of the model lifecycle: validated data, repeatable training, release gates and accountable production operations.
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MLOps & LLMOps
Why Versioning Is Fundamental to Reliable MLOps
Link code, data, features, models and runtime configuration so teams can investigate regressions and restore compatible releases.
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MLOps & LLMOps
MLOps: An End-to-End Overview
The main stages of an MLOps workflow, from validated data and feature preparation to deployment, monitoring and controlled retraining.
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Platform Engineering
DevOps Pipeline for a React Native iOS App
A React Native iOS delivery workflow using a macOS build runner, Xcode, Fastlane, automated tests and controlled release steps.
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AI & GenAI
Azure OpenAI, LangChain, Chroma and Chainlit: Roles and Trade-offs
The distinct roles of model access, orchestration, retrieval and conversational interfaces in an LLM application.
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AI & GenAI
AI Chatbots and Voicebots: Business Use Cases
Where chatbots and voicebots can support service and sales workflows, and how to evaluate their reliability and operating cost.
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Cloud
Kubernetes on AWS: Deployment Decisions and Operational Boundaries
An updated review of the infrastructure and operational requirements for Kubernetes on AWS, with the original setup identified as legacy.
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Data Architecture
AWS Data Architecture: Sources, Ingestion and Analytics
An AWS data platform connects source systems, ingestion, storage, analytics and orchestration. Each layer needs clear ownership, access controls and monitoring.
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