I’m a Software Development Engineer at Amazon, where I work on building scalable, reliable systems that power large-scale logistics and customer experiences. As part of the ShipTech (Lifecycle Management) team, I focus on designing and improving deviation management systems that proactively detect and resolve operational issues, ensuring high system reliability across complex product lifecycles.
My work sits at the intersection of distributed systems, backend engineering, and customer experience. I’ve contributed to high-impact initiatives such as enabling real-time, customer-facing out-for-delivery cancellations during delivery delays, directly improving flexibility and user satisfaction. I’ve also supported the migration of critical AWS infrastructure across regions, strengthening system scalability, availability, and resilience while minimizing disruption.
I primarily work with Java, Spring Boot, AWS, and microservices, and I’m deeply interested in designing systems that are not only scalable, but also maintainable and fault-tolerant in production environments.
Prior to Amazon, I gained hands-on experience as a Software Engineer Intern, where I worked on end-to-end product development using Next.js, Node.js, TypeScript, and PostgreSQL. This experience helped me develop a strong full-stack perspective and an appreciation for clean architecture, efficient API design, and seamless frontend–backend integration.
Outside of work, I’m passionate about problem-solving and competitive programming. I’ve consistently ranked among top global participants on platforms like LeetCode, CodeChef, and Codeforces. These experiences have sharpened my ability to break down complex problems, think in terms of efficiency and trade-offs, and approach system design with a strong analytical foundation.
I’m driven by solving challenging engineering problems, building systems at scale, and continuously pushing myself to learn and grow. I’m particularly interested in backend engineering, distributed systems, and creating technology that has meaningful real-world impact.