Mohammed Irfad

Full-Stack Software Engineer

Bengaluru, Karnataka, India Work from office Full-time 2+ yrs exp 86 · Excellent

About

Full-Stack Software Engineer with 2+ years of experience building and scaling cloud-native SaaS applications using Node.js, React.js, and AWS. Skilled in designing RESTful APIs, GraphQL services, WebSocket-based real-time systems, and microservices architectures deployed via Docker and CI/CD pipelines. Delivered production systems supporting 500+ annual transactions-critical events with 99.9% uptime, reduced manual QA effort by 15 hours/week through automation, and maintained 90%+ unit test coverage across Agile delivery cycles. Seeking a Full-Time Software Engineer role in Bengaluru, Karnataka.

Skills & Expertise (38)

React.js Intermediate

7.5/10

Years Exp

Node.js Intermediate

7.0/10

Years Exp

Git Intermediate

7.0/10

Years Exp

Typescript Intermediate

6.8/10

Years Exp

Microservices Architecture Intermediate

6.5/10

Years Exp

Python Intermediate

6.0/10

Years Exp

Mongoose ODM SOLID principles Query Optimization Docker Nginx GCP Firebase Postman Figma Socket.IO OpenCV RabbitMQ Agile Scrum RBAC Javascript (ES6+ Redis MySql MongoDb CSS3 HTML5 Tailwind CSS React Query Redux Toolkit OAuth 2.0 JWT WebSockets REST APIs GraphQL Express.js SQL Go

Work Experience

Software Engineer

Quantum System

Oct 2023 - Present

Architected React.js and Redux Toolkit dashboards for ML model training workflows, implementing code splitting and lazy loading to streamline state management, reducing manual QA overhead and accelerating release cycles. Engineered JWT-based authentication, Docker containerization, and automated CI/CD pipelines with GitHub Actions, establishing zero-downtime continuous delivery across all production environments. Refactored a monolithic backend into SOLID-compliant Node.js/Express.js microservices backed by MongoDB and MySQL, improving API throughput and system scalability. Built OpenCV-powered computer vision automation pipelines that replaced manual validation workflows, saving approximately 15 hours/week of QA effort and improving system reliability. Collaborated cross-functionally in 2-week Agile sprints with product, design, and QA teams, delivering features on schedule while maintaining 90%+ unit test coverage on critical service modules.