# Shubham Kumar > Senior SDE @ Amazon | LLM, GenAI & AI Platform Engineering | Distributed Systems | Amazon Ads Location: San Francisco Bay Area, United States Profile: https://flows.cv/shubhamkumar I’m a Software Engineer at Amazon with 7+ years of experience designing and scaling backend and distributed systems that power products used by millions of customers. My work spans across Alexa Devices and Amazon Ads (FireTV), where I’ve built low-latency selection engines, cloud-native ETL pipelines on AWS, and services handling billions of daily events. Over the past few months, I’ve increasingly focused on integrating Generative AI (GenAI) and Large Language Models (LLMs) into production workflows — building backend services and tooling that enable intelligent automation, context-aware decisioning, and AI-assisted operations in real-time systems. I’ve also published academic research in blockchain and LLM-based cybersecurity, reflecting a strong foundation in distributed systems and applied AI. More recently, I’ve been working on emerging AI integration patterns, including tool-aware AI agents and standards such as Model Context Protocol (MCP) to bridge LLMs with backend services, APIs, and real-time data sources. I thrive at the intersection of infrastructure and intelligence — whether that’s building high-throughput backend platforms, designing scalable data pipelines, or enabling GenAI systems to safely and reliably operate in production environments. ## Work Experience ### Senior Software Development Engineer @ Amazon Jan 2021 – Present | Sunnyvale, California, United States • Designed and built large-scale backend systems for Alexa Devices and Amazon Ads, impacting millions of users. • Developed low-latency selection engines for real-time ad decisioning, ensuring performance in critical environments. • Integrated Generative AI (GenAI) and LLM-based capabilities into backend workflows to enable context-aware automation, operational intelligence, and developer productivity improvements. • Built backend tooling and service interfaces to allow LLMs and AI agents to safely interact with internal APIs, data sources, and business logic. • Worked on emerging AI integration patterns, including tool-aware agents and early adoption of standards such as Model Context Protocol (MCP) to bridge LLMs with backend services and real-time systems. ### Graduate Research Assistant @ San Jose State University Jan 2021 – Jan 2021 | San Jose, California, United States ### Graduate Research Assistant @ San Jose State University Jan 2020 – Jan 2021 | San Jose, California, United States • Working on developing Smart Ethereum contracts using Solidity, Truffle suite,Web3.js, Ethereum. • Building secure blockchain network DApps and creating private blockchain networks. • Exploring IPFS and it's usage with Blockchain to efficiently minimize storage and computing costs on-chain, while also preserving the security of data off-chain. ### Software Engineer Intern @ TAMMIRA Jan 2020 – Jan 2020 | San Jose, California, United States •Led the development of the Tammira beauty mobile video app for learners and artists/influencers to match up/find, connect, book, and engage with each other. •Developed one-to-one live video chat, booking, and other features for influencers to connect with their followers. •Integrated Apple Single Sign-On OAuth, booking, and other features for influencers to connect with their followers. ### Software Engineer @ Xoriant Jan 2016 – Jan 2019 | Pune/Pimpri-Chinchwad Area Technologies and Framework: Java, JavaScript, Spring Boot, Oracle Database,PL/SQL, REST APIs, Jenkins, MongoDB, AngularJS, Apache Kafka, MySQL • Worked as a full-stack developer on the GDPR (General Data Protection Regulation) project for Citi bank using Spring Boot, Hibernate, AngularJS, and Oracle Database. • Designed and developed the GDPR framework with the team for a top global bank that identified key data records eligible for deletion from the application in accordance with GDPR rules and created dashboards to simulate/execute deletion. • Improved the performance of the application by 𝟯𝟬% by optimizing the fetch process of Hibernate entities and implementing RESTful APIs. • Active in all the phases of SDLC such as Analysis, Requirement Gathering, Design, Coding, Unit Testing, Documentation. • Shortened check-in time by 𝟴𝟬% by automating the compile process of Java Batches to run directly on Build servers. • Managed software versioning and revision control system using GIT. • Implemented modules for handling encryption and random key-token generation. Developed UI dashboards to enable users to create backend templates, upload data, and view data. • Improved speed and augmented the performance of the application by integrating EHCache that decreased time to load records by 𝟰𝟬%. • Reduced the deployment time by 𝟳𝟬% by automating the build and deployment process using Jenkins by configuring its CRON mechanism and email notification service. ## Education ### Master of Science - MS in Computer Software Engineering San José State University ### Bachelor's Degree in Computer Engineering Vishwakarma Institute of Information Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/shubhamkumar567 - Website: https://shubh08.github.io/my-portfolio/ --- Source: https://flows.cv/shubhamkumar JSON Resume: https://flows.cv/shubhamkumar/resume.json Last updated: 2026-03-22