DHEERAJ SINGH

I’m a Fullstack Developer with hands-on experience building high-performance, scalable web applications using Node.js, Express, TypeScript, React.js, and Next.js. I specialize in architecting asynchronous, event-driven systems with BullMQ and Redis to optimize latency and handle high-concurrency traffic. I also bring proven expertise in Stripe payment ecosystems, RBAC security, real-time WebSocket layers, and AI-powered features using LLM APIs.

In StayFinder, I engineered an AI-powered semantic search engine using LLMs (Gemini/OpenAI) and Pinecone to match natural language property queries. By architecting an event-driven backend that decoupled booking, payment, and notification workflows, I reduced core booking API response time by 40%. I also integrated Redis caching and BullMQ background tasks to improve reliability and consistent read performance.

In WisdomShare, I reduced application latency by 60% using a multi-layered Redis caching strategy and cursor-based infinite scrolling. I built a background service layer with BullMQ for image transformations, notification broadcasts, and bulk deletions, and integrated Stripe API for subscription management and plan-based content gating. I delivered live notifications, presence tracking, and typing indicators using Socket.IO, plus asynchronous content generation with Gemini API.

Across LMS and HRMS, I focused on measurable performance and dependable systems—improving async workflows and query execution plans for a 30% reduction in average API response latency, enabling real-time updates for live classes via WebSockets, and isolating enrollment and payment workflows in background queues. I’m especially proud of using Prisma ORM for type-safe, reliable data integrity. I’m backed by a strong DSA foundation (200+ problems solved) and I enjoy shipping production-ready full-stack experiences end to end.