Curated learning paths to master new skills and technologies through structured content journeys.
A practical series sharing what I learn while building software — from Angular and npm libraries to APIs, authentication, DevOps, and infrastructure.
A running log of the real decisions behind ZyVOP — hosting migrations, stack choices, costs, and the mistakes that came with them. No polish, just what happened and what it cost.
A data structures and algorithms series taking you from Big-O all the way to advanced structures, in Python and Node.js. Runs as long as the material needs — some topics get one post, others get a full breakdown across several. Every post ships sandbox-tested code and real benchmarks, not just theory.
A comprehensive machine learning curriculum designed to take you from your first model to production AI systems. Learn ML fundamentals, deep learning, MLOps, LLMs, RAG, vector databases, and AI engineering through hands-on projects, real-world examples, and industry best practices.
Learn system design from beginner to advanced with practical explanations, real-world architecture patterns, scalability concepts, distributed systems, databases, caching, microservices, and production engineering insights.
Join thousands of developers advancing their skills through structured learning paths.