Autocomplete Frontend System Design
Staff-level frontend system design guide for building a reusable autocomplete component.
Staff-level frontend system design guide for building a reusable autocomplete component.
Staff-level frontend system design guide covering requirements, entities, APIs, streaming, state management, rendering performance, reliability, accessibility, and frontend scale.
Staff-level full-stack and agentic system design for an assistant that answers questions about campaigns, audiences, content, and customer journeys, then executes approved actions.
Staff engineer level frontend system design for a Google Calendar-like application, covering requirements, architecture, API design, client data model, conflict resolution, performance, accessibility, offline support, and observability.
A frontend system design guide for building a personalized, long-lived, interaction-heavy news feed.
A staff-level frontend system design interview guide for building scalable light/dark mode architecture with persisted user preferences, design tokens, accessibility, and trade-off analysis.
A frontend system design guide for google docs
Staff-level system design for a conversational AI agent that reuses Model Foundry metrics APIs to answer questions, detect unhealthy models, explain anomalies, and recommend approved actions.
News Aggregator design
System design for payment system
Interview-ready guide to React hooks, common bugs, debugging patterns, and practical fixes.
Interview-ready guide to React hooks, common bugs, debugging patterns, and practical fixes.
Staff-level interview guide for designing an accessible, responsive, performant, and internationalized calendar date-picker.
Staff-level frontend interview preparation tailored to MLOps observability, reusable EngX components, frontend reliability, performance, accessibility, and cross-functional leadership.