Follow the
threads.
Broad categories give the archive shape. Specific tags make it useful when you are looking for a particular idea, tool, or technology.
Big questions,
small notes.
11 published pieces, connected by the questions I keep returning to.
AI & Machine Learning
Models, agents, retrieval, and the engineering practice behind useful AI systems.
Software Engineering
Architecture, developer tools, systems, and the habits that keep software dependable.
Programming & DSA
Problem solving, algorithms, and practical programming lessons from the workbench.
Research & Technology
Paper notes, technical analysis, and clear thinking about technologies shaping tomorrow.
Projects & Experiments
Build logs that unpack the problem, decisions, trade-offs, and lessons behind a project.
Learning Journal
Honest notes about what clicked, what broke, and what I am learning next.
Specific tools.
Useful handles.
Tags stay intentionally focused: a few relevant technologies per article, not a cloud of keywords.