I am a Software Engineer who specializes in bridging modern web development with Applied AI. I build robust backend architectures, high-performance user interfaces, and cost-effective AI pipelines.
- Full-Stack Architectures: Scalable, end-to-end applications using Next.js, Node.js, and TypeScript.
- Applied AI & Data Pipelines: RAG backends, semantic caching systems, and intent-based LLM routing.
- Cloud & Infrastructure: Deploying highly available services using AWS, Docker, and serverless edge computing.
- Frontend: React.js, Next.js, TypeScript, Tailwind CSS
- Backend: Node.js, Express.js, WebSockets, Serverless APIs
- Databases: PostgreSQL (Vector Search), MongoDB, Redis
- DevOps: AWS, Docker, Cloudflare, GitHub Actions, Linux
- Memoria (Intelligent API Router): Engineered a dual-layer semantic caching system and intent-based routing architecture that dynamically handles provider outages and drastically cuts inference latency.
- Codaborate (AI Workspace): Developed backend services using vector embeddings to analyze and query massive code repositories for context-aware summaries.
- FlatQuest (Real-Time Marketplace): Built secure, real-time negotiation platforms utilizing Socket.IO and JWT authentication for high-concurrency environments.
📫 Reach me at: vaibhavnagpal.dev@gmail.com