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Perspectives on AI, cloud & data engineering

Practical articles on AI training, cloud platforms, data engineering, and the skills teams need to build production systems.

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6 articles · 2024–2026

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2026

1 article

2026
LLM TRAININGAug 2, 2026·7 min read

The Immersive Roadmap to Mastering LLMs: Hands-On Projects from Scratch

Stop reading tutorials and start building. This project-first roadmap guides you through building custom RAG pipelines, fine-tuning open-source models, and deploying them to production.

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2025

3 articles

2025
LLMAug 13, 2025·1 min read

Small Language Models and Edge AI: What Changed in 2025

SLMs and on-device inference matured in 2025. When teams chose Phi, Gemma, and Mistral Small over frontier APIs — and how they deployed at the edge.

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2025
AGENTIC AIMay 21, 2025·1 min read

Model Context Protocol (MCP) and the Tool-Use Standard for 2025

MCP emerged as a common way to connect LLMs to data and tools. Why integrators cared and how it compared to ad-hoc function calling.

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2025
AGENTIC AIFeb 6, 2025·2 min read

Agentic AI in the Enterprise: From Chatbots to Autonomous Workflows

2025 shifted focus from single-shot prompts to multi-step agents. How planners, tools, and human-in-the-loop gates landed in production.

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2024

2 articles

2024
RAGJun 18, 2024·2 min read

Building Your First RAG Pipeline: LangChain, Embeddings, and Vector DBs

Retrieval-Augmented Generation exploded in 2024. A step-by-step look at chunking, embedding models, and vector stores for production-minded beginners.

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2024
AI TRAININGMar 12, 2024·2 min read

LoRA and QLoRA: The Practical Guide to Fine-Tuning LLMs in 2024

Parameter-efficient fine-tuning went mainstream in 2024. Here is how teams use LoRA and QLoRA to adapt open models without full retraining budgets.

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