AKANURAG KULEinanurag25.hashnode.dev路3d ago 路 57 min readBuilding Trustworthy AI Agents: A Practical Framework for Evaluation, Observability, and MonitoringIn the rapidly evolving landscape of large language model (LLM) applications, robust evaluation, monitoring, and tracing have become essential for building reliable, performant, and cost-effective AI 00
AKANURAG KULEinanurag25.hashnode.dev路Jun 28 路 76 min readBuilding Production-Ready AI: The Critical Role of Feature Engineering and Data PipelinesFor years, the AI conversation has been dominated by models, bigger architectures, more parameters, and flashier benchmarks. But ask anyone who has actually shipped ML into production, and you'll hear00
AKANURAG KULEinanurag25.hashnode.dev路Feb 1 路 35 min readThe End-to-End Deep Learning: A Beginner's GuideDeep learning is a subset of machine learning that uses multilayered artificial neural networks to enable computers to learn from massive amounts of data and perform complex tasks that typically require human intelligence, such as image and speech re...00
AKANURAG KULEinanurag25.hashnode.dev路Dec 13, 2025 路 46 min readThe End-to-End Machine Learning Lifecycle: A Beginner's GuideThe End-to-End Machine Learning (ML) Lifecycle is a structured, iterative process transforming a business need into a working, maintained AI solution, starting with defining the problem and goals, moving through data collection/prep/modeling/evaluati...00
AKANURAG KULEinanurag25.hashnode.dev路Nov 30, 2025 路 8 min read馃殌 LangChain vs Google ADK: Choosing the Right Framework for Agentic AI 馃幆馃ЗIntroduction As artificial intelligence continues to evolve, developers are increasingly building sophisticated agentic systems that can reason, plan, and execute complex tasks autonomously. Two prominent frameworks have emerged in this space: Lang...00
