About

Sai Vamsi Nagulapalli is a highly skilled Senior Software Engineer at Qualcomm with over 3.86 years of relevant experience. He has a strong technical background in software development, AWS, Blockchain, Ethereum, Python, Typescript, ECS, Web, Docker, MongoDB, Microservices, CI/CD, Solidity, Smart Contract, Flask, ReactJS, Kafka, UI, NodeJS, test, Redux, and Integration. At Qualcomm, Sai has designed and developed a single event-based service for handling Notifications/Emails/analytics used by several microservices. This has eliminated unnecessary retries and removed multiple CloudEmail accounts, resulting in a 40% cost reduction. He has also developed a full-stack application responsible for Reports/Invoices/Project Management using React, Typescript, and Python Flask, which covers 80% of Qualcomm projects. Additionally, Sai has developed a seamless deployment solution using GitLab-CI and AWS ECS/Cloud Formation change set to deploy and build scripts. This has improved the CI/CD productivity and removed manual deployment cycle checks. Prior to Qualcomm, Sai worked as an Application Developer at The University of Southern Mississippi, where he engineered an Ethereum blockchain-based incentivization web platform where vendors run campaigns (Smart contracts) to reward users by custom token called PAY-U-COIN (send, receive) and promote their business. He also developed a video chat application which allows audio/video services using Webrtc, ReactJs, Nodejs APIs, and websockets for signaling servers. Additionally, Sai designed a web app to digitize the University certificates by deploying them to blockchain for tamper-proofness that eliminates third-party involvement in background verification saving money and time. Sai also worked as a Technical Associate at Evoke Technologies, where he designed, architected, and implemented the complete analytical solution for blockchain-based healthcare products increasing the performance 4X times by replacing existing models using Druid OLP, Kafka, Apache Superset, Nodejs event processors. He developed an appointment management system using ReactJs/redux UI and JWT microservices using ExpressJS and implemented event processors in Python for analytics, billing, and preprocessing data to Kafka Cluster. Sai also developed a notification system using Google Firebase and Nodejs and developed web-ui to send broadcast-messages. He engineered a seamless integration framework that gathers all the live events to implement their feature model, reducing the server and maintenance costs to one third. Sai holds a Master of Science - MS in Computer Science from