프로젝트를 수행하며 발생한 문제들을 해결하고, 더 나은 사용자 경험 제공과 성능 향상을 목표로 새로운 기술을 적용해보며 학습을 꾸준히 합니다.

단순 UI 구현을 넘어, 렌더링 / 흐름 / 리소스 로딩 / 브라우저 & 런타임 메모리 관점까지 고려하며 문제의 근본 원인을 파악하고 구조적으로 해결하는데 집중합니다.

동료 피드백을 수용하여 부족한 부분을 지속적으로 개선하고자 노력합니다.

• LinkBrain is an AI-Powered knowledge management and collaboration platform that supports multi-platform environments, including web / mobile / Chrome Extensions (currently developing).. etc.
• Implemented based on React, Next.js, Supabase, Tanstack Query, Zustand on Frontend and FastAPI, LangChain, LangGraph, Postgresql, Alembic on Backend and AI.
• primarily responsible for core front-end functions related to web apps, Chrome extension and document agents.

• Established initial frontend project configuration for LinkBrain defining the development environment and foundational architecture.
• Upgraded Tailwind CSS from v3.4.5 to v4.1.8, conducting impact analysis on existing styles and executing a progressive migration.
• Executed phased upgrades of Next.js, verifying breaking changes and API updates at each stage.
• Maintained service stability by proactively evaluating functional changes and potential risks associated with major framework updates.

• Reduced Critical Path latency by approximately 52%(7,868ms → 3,756ms) by eliminating unnecessary serialized tasks in the initial rendering path.
• Resolved rendering bottlenecks, by decoupling the resource loading structure to ensure only essential assets are loaded upon entering
• Enhanced UX by optimizing the client-side rendering path independently of server response fluctuations.
• Improved cache stability by excluding redundant build manifest resources from the Service Worker pre-cache stage.

• Managed tasks autonomously within a 2-week Agile sprint cycle using Linear, creating and tracking granular tickets and sub-tickets.
• Fostered a collaborative engineering culture by sharing new issues, development trends, and technical challenges via Slack.
• Expanded cross-functional knowledge by participating in a Spring AI study with backend engineers to understand server architecture and AI integration flows.

• Modified Nginx-based Reverse Proxy + Cache Strategy to resolve static chunk caching issues in Safari and mobile environments.
• Configured Next.js standalone + PM2/Node server in EC2 deployment environment.
• Configured temporary EC2 / NCP deployment environment to resolve Chrome Inspect and Android device debugging limitations.
• Performed Pair Programming using tmux + Gemini CLI + SSH Environment based on ncp gpu server.