# Arjun Adhia > Software Engineer Location: New York, New York, United States Profile: https://flows.cv/arjunadhia ## Work Experience ### Senior Software Engineer @ Traba Jan 2024 – Jan 2025 | New York, New York, United States ### Senior Software Engineer @ ModernFi Jan 2023 – Jan 2024 | New York, New York, United States ### Software Development Engineer II @ Amazon Web Services (AWS) Jan 2021 – Jan 2023 | Seattle, Washington, United States Amazon Elastic Map Reduce (EMR) Serverless Was a founding engineer of Amazon EMR Serverless - a new Amazon EMR offering clients to setup an EMR cluster 75% faster. Eliminates the need to setup, maintain, or configure EC2 hosts or EKS clusters. • Architected and built a multi-tenant, distributed, backend service that serves as the resource manager for clients’ distributed applications’ (i.e. Spark and Hive) workers with >99.9% availability. • Designed, implemented, and launched EMR Serverless’ custom images, enabling customers to install/configure packages optimized for their workloads and integrate with current CI/CD best practices. 100+ customers successfully submitted 5000+ jobs within the first two months of the launch. • Improved container start time by reducing Docker images pull times by 90%. Worked cross-functionally with other AWS service teams and the Amazon Linux team to upgrade a core Docker dependency to achieve this. • Implemented pre-initialized capacity support, a feature to reduce application start time, on EMR Serverless’ resource manager service. • Collaborated with downstream services to overcome capacity constraints brought on by heavy users, those who consumed at least 4,000 vCPU’s concurrently, of EMR Serverless. • Led the implementation of operational metrics collection and monitoring dashboards in parts of EMR Serverless to improve debugging and proactively identify issues. ### Software Development Engineer II @ Amazon Jan 2017 – Jan 2021 | Seattle Universal Brand Catalog • Developed a system that maps over 30 billion products to an internal brands database daily to discover products and brands not present in the Amazon Catalog and to determine brands’ selling potentials. • Maintained a platform built on top of AWS Mechanical Turk to allow users to consolidate worker responses manually, increasing accuracy of responses when compared to the default string comparison. • Developed a feature to allow users to choose if a workers gets paid based on quality, reducing our users’ costs. • Developed a feature to retrieve responses before all questions (1000+ per batch) were answered, reducing the wait time from days to minutes for downstream consumers • Coordinated the handoff of an internal platform to another team and documented parity requirements for their effort to consolidate with their own platform to unify functionality across multiple orgs. ### Software Development Engineer Intern @ Amazon Jan 2016 – Jan 2016 | Seattle ### Residential Computing Consultant @ University of North Carolina at Chapel Hill Jan 2014 – Jan 2016 Provide technical support to my peers living in dorms on campus as well as maintain all electronic equipment in these dorms. ### Computer Science Teaching Assistant @ University of North Carolina at Chapel Hill Jan 2015 – Jan 2015 Teaching Assistant to Comp 401, Introduction to Programming ### Software Engineer Intern @ IBM Jan 2015 – Jan 2015 | Raleigh-Durham, North Carolina Area Interning at IBM in the Research Triangle Park as a Software Developer in RDz Product Integration and Delivery. As part of this, I examined Java code part of IBM's Rational Developer for z Systems (RDz) product and determined the best approach to repair outdated code. I spent time repairing these portions of code and submitted these changes to the RDz team. I also conducted a code coverage analysis for RDz to determine the effectiveness of test code for the RDz product. I worked with test classes in this product and produced coverage data. I presented this information to the RDz team and my managers and gave recommendations on where to focus testing. My deliverables included a written report, a website, the raw data, and a readme document for future studies on code coverage. ## Education ### Bachelor of Science (B.S.) in Computer Science and Economics The University of North Carolina at Chapel Hill Jan 2013 – Jan 2017 ### North Carolina School of Science and Mathematics Jan 2011 – Jan 2013 ## Contact & Social - LinkedIn: https://linkedin.com/in/arjun-adhia --- Source: https://flows.cv/arjunadhia JSON Resume: https://flows.cv/arjunadhia/resume.json Last updated: 2026-03-20