Ayush Shivhare

About Ayush Shivhare

I write code that ships, scales, and survives failure. Targeting SDE-1 roles, where I can build systems that serve millions — with ownership, from day one. SYSTEMS I\'VE OWNED END TO END→ Async Job Tracker Microservices on AWS ECS · BullMQ + Redis queuing · exponential backoff retries · Dead Letter Queues · live WebSocket monitoring Outcome: fault-tolerant async processing, zero job loss on failure→ Real-Time Group Chat Platform Socket.io Pub/Sub · split Auth + Chat services · Jest/Supertest CI · deployed on AWS ECS via GitHub Actions Outcome: horizontally scalable to thousands of concurrent users→ URL Shortener with Click Analytics (@ Cognifyz Technologies) Redis caching · high-frequency REST APIs · Docker + CI/CD pipeline Outcome: near-instant redirections under production load HOW I THINKDIVE DEEP → I don\'t stop at \"it works.\" I trace why it works, and what breaks it at scale.OWNERSHIP → Every project above was solo-owned — architecture to deployment.INVENT → Built DLQ fault-tolerance and live job dashboards before I\'d seen them taught anywhere. STACKLanguages → JavaScript, Java, PythonBackend → Node.js, Express.js, REST APIs, WebSockets Queue/Cache → Redis, BullMQDevOps → Docker, GitHub Actions, AWS ECS, GCPDatabases → MongoDB, MySQL, SupabaseDSA → Arrays, Trees, Graphs, DP, Sliding Window, HeapsB.Tech CSE · Hitkarini College (RGPV) · Graduating 2026 Open to SDE Intern & SDE-1 roles. Let\'s talk → a••••••••@gmail.com

Experience

1. Back End Developer

   Cognifyz Technologies

   Jan 2026 — Present · IN

   Designed REST APIs for a URL Shortener handling high-frequency redirections, with Redis caching achieving near-instant response times- Containerized backend services with Docker and automated deployments via GitHub Actions CI/CD, reducing manual deployment effort to zero- Applied microservices architecture — decoupling core API and analytics services for independent scaling.

Education

• RGPV University

  Bachelor of Technology - BTech, Computer Science