Open to opportunities

Choudhary Muhammad Junaid User

@choudharymuhammadjun

Message

Results-driven Software Engineer building scalable full-stack web and mobile products with MERN and Next.js.

Pakistan

Message

What I'm looking for

I want to build scalable products where clean code and performance matter—shipping production features end-to-end. I’m especially excited to work on backend systems and AI capabilities like RAG with real-time, streaming LLM experiences.

I’m a results-driven Software Engineer specializing in full-stack web development with the MERN stack and Next.js. I build scalable web and mobile applications, design robust RESTful APIs, and deliver high-performance user interfaces with clean code and modern engineering practices.

In my recent roles, I architected responsive, production-ready frontends and multi-tenant, role-based queue management using React and Next.js App Router. I also implemented secure multi-tenant authentication and granular RBAC with Auth0, deployed backend serverless functions with optimized MongoDB schemas, and integrated intelligent AI utilities using RAG, Anthropic Claude API, and LLM streaming responses for real-time content processing.

Experience

Work history, roles, and key accomplishments

Current

Associate Software Engineer

Current

Burnt Brains

Feb 2026 - Present (5 months)

Architected high-performance, responsive frontend interfaces and a multi-tenant, role-based queue management system using React and Next.js App Router. Implemented multi-tenant authentication and RBAC with Auth0, built secure serverless REST services with MongoDB, and integrated the Anthropic Claude API plus webhook-based third-party synchronization.

React React Router Auth0 Serverless Functions REST APIs MongoDB Anthropic Claude API Webhooks cloud deployment

Associate Software Engineer

Vanar

Aug 2025 - Feb 2026 (6 months)

Developed, optimized, and maintained high-traffic web and cross-platform mobile applications using React, Node.js, and Capacitor. Built RAG workflows (embeddings, chunking, vector database), implemented LLM features with streaming responses, and improved legacy production code and database query performance.