Software Developer with 5+ years of experience building scalable backend systems using Java, Node.js, and Spring Boot. Experienced in microservices, cloud-native applications, and complex business domains such as healthcare and enterprise platforms. Known for writing clean, maintainable code and delivering features end-to-end in agile teams.
March 2025 – Present
Building and optimizing backend services for enterprise applications using Node.js. Driving code quality through rigorous code reviews, reducing defect leakage into production. Collaborating with product managers, architects, and designers to deliver robust, business-aligned solutions. Resolved critical production issues, improving service reliability and reducing incident frequency.
August 2022 – March 2025
Designed and developed backend services and APIs using Node.js, Java, Spring Boot, and SAP CAP. Delivered end-to-end features from requirement analysis to deployment in production environments. Contributed to performance improvements and bug resolution across multiple services.
June 2021 – August 2022
Developed and maintained microservices supporting healthcare workflows including pre-authorization, medical coding, and claim resolution. Built scalable backend systems using Node.js, Java, and Spring Boot, integrated with React-based frontends. Deployed and managed services on AWS, ensuring high availability and fault tolerance.
June 2020 – November 2020
Deployed web applications on Azure Virtual Machines and Windows Server environments. Hosted ASP.NET applications using Azure App Services and IIS. Developed enterprise reports using SAP Crystal Reports and SQL Server stored procedures.
2017 – 2021
CGPA: 7.88
IndianCart
E-commerce application with product catalog and customer management modules.
EMOSIC
Android app integrating Azure Cognitive Services to detect emotions and recommend context-aware music.
Passionate about designing scalable, resilient backend systems using Node.js, Java, and Spring Boot. Interested in microservices patterns, API design, and building services that handle real-world enterprise complexity.
Keen interest in building and deploying cloud-native applications on AWS and Azure. Enjoy working with containerisation (Docker), infrastructure-as-code (Terraform), and CI/CD pipelines using Jenkins.
Fascinated by the rapid evolution of AI and large language models. Interested in exploring how LLM-powered tools and AI services can be integrated into backend systems to build smarter, more capable applications.
Strong advocate for clean, maintainable code and robust engineering practices. Interested in improving developer tooling, code review culture, observability, and reducing operational toil through better system design.