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arych8090/README.md

Hey, I'm Aryan

I'm a full-stack engineer focused on building scalable, real-time systems with deep integration of backend intelligence, modern frontend UX, and production-grade DevOps.

I specialize in designing and engineering platforms that go beyond CRUD — systems that react, adapt, and scale.


🚀 What I Build

  • 🛒 Real-Time Platforms
    Featuring personalized engines with real-time stock updates, flash sale alerts, interactive search caching (Redis), WebSocket user grouping, Stripe integration, and scalable product delivery logic via BullMQ queues.

  • 🧠 Custom Infrastructure & Microservices
    Architected with multi-server Docker networks, Kafka message pipelines, healthchecks, service isolation, and scalable async queues. Built to handle high-traffic, low-latency conditions with predictable recovery and memory-safe operations.

  • 🌐 Frontend Systems with Reactive UX
    Next.js + React apps with smooth interactions using GSAP/Framer Motion, connected to real-time data sources and optimized for SEO + performance.


🧰 My Stack

Backend & Systems:
Node.js · Express.js · Redis (Caching, Pub/Sub, BullMQ, Redis OM) · PostgreSQL · MongoDB · Prisma · Mongoose · GraphQL · Kafka · WebSockets · Socket.IO · Microservices

Frontend:
Next.js (App Router) · React.js · Tailwind CSS · Framer Motion · GSAP · Pixi.js · Three.js

DevOps & Infra:
Docker · Vercel · Render · Railway · GitHub Actions · Nginx · Healthchecks · Multi-container Services · Scalable Event-Driven Architectures


🧩 Systems I Solve

  • Multi-room WebSocket subscriptions (product updates, group flash deals)
  • Smart search caching with user interactivity scoring (Redis)
  • BullMQ-based cleanup + retry queues
  • Distributed cart stock validation before Stripe checkout
  • Auto-unsubscribe socket logic with idle timers
  • Search scaling via microservice and inter-service message pipelines
  • Incremental cache pruning based on popularity thresholds
  • Real-time UI sync with backend services


Building systems that don’t just scale — they adapt.

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