Coding
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Testing Strategy for Data Pipelines: The Bedrock of Reliable AI Systems
Testing Strategy for Data Pipelines: The Bedrock of Reliable AI Systems 🌍 Introduction In the world of AI engineering, building a pipeline is only half the battle. The real question is: Can you trust the outputs your pipeline produces every day, month after month? Without rigorous testing, pipelines silently decay — leading to wrong models, Read more
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Metadata Management in AI Pipelines: The Hidden Backbone of Reliable AI Systems
🌍 Introduction In AI development, models often steal the spotlight. But professional AI Architects know: Without disciplined metadata management, even the best models collapse in real-world systems. Today, we deep-dive into Metadata Management in AI Pipelines — the unsung hero behind reproducibility, traceability, scalability, and compliance. We’ll cover: 🌉 Scene Visualization: Building a Smart Library Read more
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Open/Closed Principle in Software Design
The Open/Closed Principle (OCP) is the “O” in SOLID, and a critical principle for designing flexible, scalable, and future-proof systems. In this article, we will cover OCP from basic theory to advanced practical applications across backend systems, frontend interfaces, testing strategies, and real-world architecture. 💡 What is the Open/Closed Principle (OCP)? “Software entities (classes, modules, Read more
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I Have A Dream . . .
On August 28, 1963, 2,50,000 people from all over the country, marched towards Lincoln Memorial to listen to the iconic speech given by Martin Luther King, Jr., which became a milestone in achieving freedom in American history. I have a dream that my four little children will one day live in a nation where they will not Read more
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