Hyderabad, Telangana, India
I'm a final-year Computer Science undergraduate at NIT Allahabad with a strong interest in backend development, distributed systems, and applied machine learning. During my internship at Amazon, I contributed to scalable, production-grade infrastructure leveraging AWS services such as S3, DynamoDB, and CodePipeline. My work led to improved document retrieval performance and deployment efficiency across multiple internal clients. With a solid grasp of core CS subjects like Data Structures, DBMS, OS, and CN, I'm proficient in C++, Python, and JavaScript. I enjoy building systems that are technically robust, user-focused, and built to scale. I thrive in fast-paced environments and love solving problems at the intersection of engineering and innovation.
Developed a scalable, asynchronous Bulk Download API to enable high-volume document retrieval for internal Amazon clients. Actively contributed to design discussions and implemented two ORCA-based workflows to orchestrate data fetching, batching, ZIP creation, and delivery. Integrated Amazon’s internal systems like Alexandria (document storage) and Engrave (secure rendering), leveraging S3 for ingest and DynamoDB for real-time batch tracking. Introduced efficient batching and partial retry logic, significantly improving fault tolerance and reducing recovery time. The solution now powers seamless bulk downloads of thousands of documents with full progress visibility and minimal operational overhead.