# Sreenivas V > Software Engineer - Amazon | UMass Amherst | Anna University Location: New York, New York, United States Profile: https://flows.cv/sreenivas πŸš€ Experienced Software Engineer with 5 years of hands-on experience in Java, AWS, and serverless compute architectures. Proven track record of building and launching robust APIs and developing scalable offline systems that process millions of records daily with zero data loss. Adept at creating solutions that prioritize efficiency, reliability, and scalability. πŸŽ“ Master of Science in Computer Science, specializing in Computer Vision. My capstone project involved extending a groundbreaking 2018 CVPR paper from NVIDIA on video interpolation by leveraging expanded context windows and enhancing optical flow estimation using deep neural networks. Passionate about applying advanced machine learning techniques to solve complex real-world problems. 🌍 Eager to continue driving innovation in the field of software development and computer vision, with a strong commitment to delivering high-impact, scalable solutions. ## Work Experience ### Software Development Engineer 2 @ Amazon Jan 2021 – Present | New York City Metropolitan Area Currently working on the Advertising API Infra team. I develop systems and software that orchestrate, authenticate, and authorize calls to all Amazon advertising APIs, serving >40,000 requests / second at <100ms latencies. As a key engineer on a team of 3-4, I developed and launched a large-scale offline diagnostics system for Amazon Advertising, processing 55 million advertising campaigns daily to identify issues and optimize performance. This system reduced ad support contacts by 30%, directly enhancing customer satisfaction and operational efficiency. I led the implementation and testing phases, contributed to the design, and delivered an API with 99.9% availability and 250ms p50 latency, providing real-time diagnostics for agencies worldwide. I tackled critical challenges such as resolving latency and product bugs, implementing a retry mechanism on SQS consumption to prevent event loss, and scaling ingestion to handle 60,000 records per second. I also enhanced processing capabilities by learning and utilizing Spark SQL, achieving a throughput of ~1,300 campaigns per second. Additionally, I developed key components of a recommendation system that generated $5 million in annual recurring revenue. I mentored two junior engineers and one intern, led ops and scrum meetings, and helped drive the team's success in delivering high-performance solutions. With expertise in AWS technologies like CDK, Lambda, and ECS, I build scalable, reliable systems that contribute to Amazon Advertising’s growth and innovation. ### Software Development Engineer 1 @ Amazon Jan 2020 – Jan 2021 | New York, New York, United States Building micro-services with serverless native AWS architectures for Amazon Advertising. Extensively worked with AWS Lambda, Cloudformation, CDK, ECS/Fargate, etc. to build API-first services in Java with high availability and low latency. Owned the design, implementation and testing of a front-end experience in the Amazon Advertising console. Launched a single page react application in the ads console, that allows advertisers to troubleshoot ad campaigns. This reduced campaign troubleshooting time from several days, involving ad support, to minutes. https://advertising.amazon.com/resources/whats-new/diagnostics-tool ### Computer Vision Software Engineer @ WeRide.ai Jan 2019 – Jan 2020 | San Francisco Bay Area Worked on object detection and tracking in the Autonomous Driving Perception R&D team. ### Computer Vision Intern @ PARC, a Xerox Company Jan 2018 – Jan 2018 | San Francisco Bay Area Worked in the Interactions & Analytics Lab with Dr. Matthew Shreve, on semantic understanding of 3D objects. Developed a fast annotation tools for 3D objects, and a novel method to extract 3D model parts using Augmented Reality. Explored the use of Augmented Reality in conjunction with Computer Vision and Deep Learning pipelines. The work resulted in a patent: https://patents.google.com/patent/US10896317B2/en ## Education ### Master of Science - MS in Computer Science University of Massachusetts Amherst Jan 2017 – Jan 2019 ### Bachelor of Engineering (B.E.) in Electronics and Communications Engineering SSN College of Engineering Jan 2013 – Jan 2017 ### High School Diploma PS Senior Secondary School, Mylapore, Chennai, India Jan 1998 – Jan 2013 ## Contact & Social - LinkedIn: https://linkedin.com/in/sreenivasvrao --- Source: https://flows.cv/sreenivas JSON Resume: https://flows.cv/sreenivas/resume.json Last updated: 2026-03-23