Backend Developer and SaaS Builder focused on creating practical, high-performance systems for real-world business challenges. I combine technical expertise with a product mindset to deliver solutions that scale.
Transforming complex requirements into scalable, high-performance systems.
Designing robust, scalable APIs and microservices. I build secure backend systems using Node.js, Express, and Spring Boot that handle high traffic and complex logic.
Designing highly scalable data architectures. I optimize complex queries, implement efficient indexing strategies, and build robust pipelines to ensure lightning-fast performance across millions of records.
Building complete, multi-tenant web applications. From authentication and role-based access control to dynamic React frontends, I deliver production-ready SaaS products.
Software Developer with nearly 2 years of experience building scalable, robust web applications and backend systems. Proven ability to design and develop end-to-end solutions, ensuring high performance, reliability, and smooth user experiences in production environments.
With hands-on experience working on production systems using the MERN stack (MongoDB, Express.js, React, Node.js), I focus on writing structured, high-quality code and designing systems that perform consistently under real-world conditions. I approach development with a strong emphasis on clarity, performance, and long-term scalability.
I'm also passionate about building products, continuously improving my skills, and contributing to solutions that create meaningful impact.
Technologies I use to build scalable, production-ready systems.
Real-world systems built for production — not just demos.
Multi-tenant SaaS platform for schools with role-based access, AI analytics, and automated workflows.
Schools need unified platforms for managing students, teachers, fees, and analytics — but existing solutions are expensive and rigid.
Built a multi-tenant architecture with RBAC (Admin, Teacher, Student, Parent), AI-powered analytics, and a scalable microservices backend.
Large-scale analytics platform processing 40M+ records with parallel processing and Elasticsearch.
Teams with MongoDB collections of millions of records lacked performant tools for exploration, aggregation, and pivot analysis.
Built optimized pagination, multithreaded parallel processing, advanced pivot tables, and Elasticsearch integration via Docker.
Secure QR-based access system with field-level encryption and automated attendance lifecycle.
Organizations needed automated systems for controlling visitor/employee entry-exit with audit trails and encryption.
Designed QR-based access with field-level encryption, automated attendance lifecycle, overtime classification, and real-time dashboards.
Distributed data pipelines for large-scale real-time datasets with fault tolerance and live monitoring.
Processing large-scale, real-time datasets required fault-tolerant distributed architecture with monitoring.
Built high-performance pipelines with optimized transformation, distributed fault-tolerant architecture, and real-time monitoring.
The core languages and technologies I use most frequently to build scalable systems and applications.
I'm always open to discussing new projects, collaborations, or opportunities. Feel free to reach out!