Backend engineering student building production-style systems with Node.js. I focus on async workflows, queue-based processing, REST API design, and cloud integrations.

Currently working on backend infrastructure for real use cases — not toy projects.

Stack:     Node.js · Express · PostgreSQL · Redis · BullMQ · Docker
Focus:     Async processing · REST APIs · Background workers · Cloud storage
Learning:  System design · Observability · Scalable architecture patterns

Core Backend

Infrastructure & Tooling

Languages

Frontend (supporting)

A backend system for file upload, storage, and retrieval with cloud integration.

What it does:

• File upload/download via REST API with multipart handling
• Cloud storage integration (S3-compatible)
• Background processing for file operations using BullMQ workers
• PostgreSQL for metadata and access control
• Redis for queue management and caching
• Containerised with Docker for consistent dev/prod environments

Tech: Node.js Express PostgreSQL Redis BullMQ Docker Cloud Storage

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A backend platform for structured job evaluation and matching workflows.

What it does:

• REST API for job postings, applications, and evaluation pipelines
• Async evaluation workflows using background job queues
• PostgreSQL schema design for relational job/applicant data
• Status tracking and notification hooks
• Logging and error handling built in from the start

Tech: Node.js Express PostgreSQL BullMQ Redis Docker

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• Async queue architecture with BullMQ — retry strategies, dead-letter handling, worker concurrency
• Structured logging and basic observability (request tracing, error monitoring)
• PostgreSQL schema design patterns — indexing, transactions, query optimisation
• Docker Compose setups for multi-service local environments
• DSA problem solving — consistent daily practice