Case Study
Carrer Dock
A Modern Job tracking application
A Modern Job tracking application built with Next.js, Node.js, MongoDB, AWS, AI Agents, RAG Systems, OpenAI, Docker, Railway, Chart.js, CI/CD, System Design, System Optimization, System Performance
Tech Stack
Next.jsNode.jsMongoDBAWSAI AgentsRAG SystemsOpenAIDockerRailwayChart.jsCI/CDSystem DesignSystem OptimizationSystem Performance
Key Features
- Developed a multi-tenant SaaS platform for collecting and analyzing customer feedback, enabling businesses to make data-driven decisions.
- Designed and implemented AI-driven features, including agents and RAG-based systems (OpenAI, Claude) to automate insights and data processing.
- Built a scalable backend architecture with Redis, BullMQ, and worker queues, handling high-volume background jobs and asynchronous processing.
- Developed a dynamic survey builder system with real-time data visualization and analytics dashboards.
- Engineered a complete admin panel and role-based access system for platform management.
- Designed and optimized REST APIs and database queries, significantly improving performance and reducing response times.
Challenges
- Designing a user-friendly interface for job tracking.
- Optimizing backend performance for high-volume data processing.
- Ensuring cross-browser compatibility and feature parity.
Learnings
- The importance of offline-first design in job tracking.
- The challenges of building a multi-tenant platform.
- The importance of AI integration in job tracking.
- The importance of performance optimization in job tracking.
- The importance of security in job tracking.