Concept Lab: Interactive Learning Curriculum
A continuously expanding interactive learning platform built from my study notes across diverse technical domains. Spanning subjects from Machine Learning and Agentic AI (e.g., RAG, LangGraph) to core Software Engineering and System Architecture, it serves as a dynamic repository that simplifies complex concepts for better retention.
Problem
Traditional learning from technical notes often lacks the engagement required to deeply understand complex architectures. Furthermore, knowledge is often siloed, making it hard to maintain an interconnected, growing repository of learnings.
Approach
Architected a standalone, scalable application that maps learning "Nodes" to interactive transcripts. By generalizing the underlying data structure, the platform is built to continuously scale as new subjects across AI, Data, and Engineering are added—each node bundling core theory, examples, and custom animations.
Outcome
Built an extensible curriculum framework capable of categorizing a constantly growing set of technical topics into structured, navigable paths.
Engineered interactive visualization components that animate complex data flows alongside the text.
Deployed a blazing fast React application that serves both as a personal knowledge base and a public reference tool.