A technical portfolio and field-notes collection — agentic AI systems, large language models, deep learning, and battle-tested software engineering craft.
Deep, structured notes distilled from years of hands-on work: AI agents and agentic patterns, GenAI & LLM internals, and the machine-learning and deep-learning foundations behind them.
A curated library of algorithm and data-structure challenges with worked Python solutions — sorting, trees, graphs, dynamic programming, plus FAANG-style question sets and pandas/SQL drills.
An interactive D3.js exploration of the world's top 25 languages by number of speakers, with drill-downs into female/male and urban/rural population distributions.