
I blend advanced mathematics, artificial intelligence, machine learning, and full-stack engineering to turn complex ideas into real-world tools.
class MirzaDanish {
// Full Stack Engineer • DevOps • Real-time Features
readonly name: string = "Mirza Muhammad Danish Baig";
readonly basedIn: string = "Rahim Yar Khan, Pakistan";
readonly education: string = "Bachelor in Computer Science";
readonly stack: string[] = [
"TypeScript", "React", "Node.js", "NestJS",
"PostgreSQL", "MongoDB", "MySQL","Redis",
"Docker", "WebSockets", "Python", "Pandas",
];
mission(): string {
return (
"Build scalable systems with modern, " +
"technologies, integrating real-world systems " +
"to deliver practical and impactful solutions."
);
}
get status(): string {
return "Open to opportunities";
}
}I develop scalable web applications with a focus on performance, system design, and third-party API integrations, combining intuitive frontend experiences with reliable backend architecture.
End-to-end web applications using MERN and Next.js — delivering scalable systems from frontend interfaces to backend architecture.
Building connected systems through third-party APIs like Slack, Google Calendar, and Stripe — enabling automation, real-time updates, and secure payment workflows.
Deploying and managing applications with AWS, Docker, and CI/CD pipelines — focused on performance, reliability, and continuous delivery.
Built end-to-end as the sole developer for a private client under NDA. Source, screenshots, and the live deployment can't be shared publicly.
Enterprise SaaS for real-time risk forecasting, simulation, and decision support. A multi-tenant AI platform that helps enterprise analysts forecast geopolitical, commodity, and cyber risks through LLM-driven simulations, real-time signal enrichment, and calibrated probability modeling.
Built for a private client under NDA. Source code, screenshots, and the live deployment can't be shared publicly.
Full-stack multi-tenant HR SaaS handling employees, leave, timesheets, performance reviews, documents, and real-time chat. Joined as a contributing engineer to ship performance, integrations, and access-control improvements across a production system.
Built for a private client under NDA. Source, screenshots, and the live deployment can't be shared publicly.
SaaS platform for e-commerce sellers to forecast demand, manage stock across warehouses, and automate purchase orders by syncing live sales and inventory from Shopify, eBay, and ShipStation. Replaces spreadsheet-driven planning with seasonality-aware forecasts, vendor-aware POs, and SKU-level replenishment alerts.

A production-grade, type-safe e-commerce backend engineered with a layered service architecture, strict input validation, and automated quality gates — designed to scale and stay maintainable in a real engineering team.
Developing and maintaining full-stack web applications using the MERN stack, focusing on scalable backend APIs and responsive frontend interfaces. Integrated third-party services such as Stripe, Slack, and Google Calendar to enable real-world functionality including payments, notifications, and scheduling. Implemented CI/CD pipelines and containerized applications using Docker to streamline deployment workflows. Collaborated on building production-ready features with a focus on performance, clean architecture, and maintainability.
Built and optimized web applications using React, Node.js, and Express, contributing to both frontend UI and backend API development. Developed reusable components and implemented features like pagination, filtering, and dynamic data rendering. Worked with REST APIs and handled integration of third-party services to enhance application functionality. Gained hands-on experience in debugging, performance optimization, and writing maintainable code in a real-world development environment.