Iām Anshika, a second-year Electronics and Communication Engineering student at IIIT Allahabad, driven by a deep interest in Backend Development, DevOps, and System Design.
I possess a strong foundation in Data Structures and Algorithms, and Iām passionate about building scalable, reliable systems while continuously enhancing my problem-solving and analytical skills.
Tech Stack
Professional Experience
Full Stack Engineer
Jarurat Care
Nov'25 - Present
Stack: Node.js, Express, MongoDB, Springboot , Java
Working across the stack to build an AI-powered chatbot using Spring Boot (Java) and OpenAI. Focused on creating scalable backend services, integrating intelligent responses, and enabling real-time communication. Responsibilities include developing robust APIs, coordinating data flow, supporting frontend integration, and contributing to architecture, performance optimization, and clean, production-ready code.
Focus: AI Integration ā¢ Scalable Backend Systems ā¢ API Engineering
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Projects
šļø E-Commerce Backend API
Stack: Node.js, Express, MongoDB, Redis, Cloudinary , Zod, Docker, Swagger
A scalable and production-grade backend designed for e-commerce applications. Implemented role-based architecture, token rotation, and IP-based rate limiting to ensure secure and efficient access control. Reused the authentication API for token management to simplify reusability and maintainability across different modules.
Integrated cart management using Redis for high-performance caching and session persistence, ensuring minimal latency for real-time cart updates. Added API documentation with Swagger for smooth developer onboarding and testing. Includes Zod-based schema validation, Dockerized container setup, and environment-specific configurations for scalability.
Focus: Security ā¢ Scalability ā¢ Reusability ā¢ Clean Architecture
Bullmq-ReTraced
Stack: Node.js, Express, Redis, Docker, Jest
ReTraced is a transparent and extensible distributed job scheduler built to make retry behavior, failure handling, and job lifecycle transitions explicit and observable.
ReTraced is designed in such a way that every job can define its own retry strategy. Although not every job requires a unique strategy, different classes of failures (network, infra, logic, business rules) demand different retry behaviors.
Focus: Security ā¢ Scalability ā¢ Reusability ā¢ Clean Architecture
š¦ Distributed Rate Limiter
Stack: TypeScript, Node.js, Express, Redis, Lua, Docker, Zod
Built a production-grade distributed rate limiter supporting Leaky Bucket, Fixed Window, Sliding Window, and Token Bucket algorithms, using Lua scripts for atomic Redis operations to ensure correctness under concurrent access.
Deployed a horizontally scalable Redis cluster with 3 masters and 3 replicas, ensuring race-free consistency and fault tolerance under sustained peak traffic.
Focus: Concurrency ā¢ Scalability ā¢ Fault Tolerance ā¢ Backend Systems
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If you have any suggestions, insights, or feedback, I would greatly appreciate hearing from you.