System Design explained from first principles to senior engineer-level thinking, with a focus on AI-assisted (vibecoding) development. Learn how to reason about systems, understand trade-offs, and validate AI-generated designs beyond just working code.

The Facial Recognition Based Attendance System is an automated solution designed to streamline attendance management in educational institutions. By utilizing advanced facial recognition technology, the system eliminates manual attendance processes, reduces proxy attendance, and provides real-time attendance tracking with comprehensive reporting .

An open source, end-to-end AI engineering curriculum—blending hands-on projects with deep theory. Covers ML, deep learning, data science & full-stack AI system design. Built for future engineers, researchers & innovators.

LLM-Powered Multi-Agent System for Market Intelligence using LangGraph, RAG, and Tool-Based Reasoning to Generate Structured Financial Insights.

A capability-first method for designing AI-enabled software systems in line with the CloudPedagogy AI Capability Framework.

A new package that helps extract and structure insights from discussions about AI system design challenges. Users can input text from forums, articles, or discussions, and the package will use llmatch

A minimal, contract-first AI workflow architecture that decouples execution from visibility. Focused on streaming LLM execution, policy-gated visibility, explicit failure semantics, and cursor-free replay, extracted from a real-world MVP.

Corporate loan decisioning system using ML + LLMs with explainable risk intelligence

An ultra-modern AI-native architecture engine showcasing layered intelligence, orchestration, and scalable infrastructure through real-time visualization. Built for enterprise-grade systems, it integrates advanced UI, AI workflows, and cloud-native design—optimized for SEO, AEO, GEO, LLMO, and high-impact digital presence.