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Rajag Maharaja Thiyagarajan  PHONE NUMBER AVAILABLE [ EMAIL AVAILABLE LinkedIn GitHub California EducationUniversity of Michigan Dearborn August 2022  April 2024 Master of Science in Software Engineering Dearborn, Michigan Work ExperienceUniversity of Michigan Dearborn Feb 2023  Present Software Developer Michigan, United States Engineered a scalable, AWS cloud-based application using React Python on AWS S3 Bucket, achieving 95.9% uptime. Implemented Redux, and Lazy Loading mechanism, optimizing performance by 40%. Conducting application product strategy to add second micro-services, to achieve an 10% improvement in process efficiency and reducing page load times by 40%1800 ADMIN Sep 2023  Dec 2023Software Developer Intern Ashburn, VA Streamlined SAP data synchronization with Java spring boot application and reduced manual entries by 40% enhancing overall system efficiency by 25%. Developed GraphQL mapper and designed new controllers, significantly enhancing data retrieval capabilities for users by 50%. Implementing asynchronous operations, resulting in 20% faster data processing and minimized system load. Created CI/CD pipeline using github enabling AWS EC2 deployments for better scalability with my team. Renault Nissan Business Tech Centre Aug 2019  Aug 2022 Full-stack Developer Chennai, India Achieved 30% frontend performance optimization by managing NGRX states for vehicle test plan module and Optimized code quality and efficiency by 20% with reusable components and services. Proposed a new Angular module for Nissans vehicle module, attracting Nissans interest and potential budget allocation of 1million$ for further developments. Collaborated with product owners and UI/UX Team to design and modernised new user interfaces, improving the UI/UX by 25%. Accomplished event-driven architecture Apache Kafka for seamless micro-service communication, ensuring data integrity and integrated Redis to cache application data, enhancing performance and responsiveness by 40%. Spearheaded the migration of our micro-service application to GCP, reducing infrastructure costs by 40% and achieving 99.5% uptime. Designed a highly scalable application using Kubernetes cluster architecture, supporting the 30% increase in our user traffic. Engaged in Agile SDLC development with 2 week sprints and Completing more than 500 user story points. ProjectsIntelligent Pipeline Failure Prediction and Analysis System [Github, Node Js, Open AI, Langchain] Present CodeGuard AI to analyze over developers code commits, accurately predicting pipeline failures and improving code error detection time by 20%.AI Professional Assistant ChatBot [Node Js, Open AI] Jan 2024 Developed My AI Personal Assistant  a lightweight AI chat-bot project leveraging Lang-chain for function chaining, Agents, and Memory features. Implementing this Chat-bot for responding to HR or manager inquiries. Student PDF MATE [React, Redux, Java 11, Spring-Boot, SQL] Sep 2023 Architectured Design patterns for seamless interaction with PDF materials, on time multi language translations and summarization by Hugging Face Models.Technical SkillsLanguages: Java (version 8 - 16,), Javascript(Typescript), SQL(NoSQL, MySQL, PostgreSQL), HTML, CSS. Frameworks: Angular (version 8 - 17, NGRX, RXJS, Material design), Spring boot, RESTAPI, Hibernate ORM, Maven, JUnit, J-meter, Micro-services, Redis, Apache Kafka, MongoDB. Tools: VS Code, IntelliJ, Eclipse, JIRA . Cloud: Google cloud(Appengine, Compute engine, Kubernetes, Cloud Functions, Cloud Storage, Cloud SQL), AWS(EC2, EKS, Lambda functions, Docker, S3 bucket, Dynamo-DB) Applied AI: Nodejs, Express js, Hugging Face, Langchain, Gen AI, Version Control: GITLAB, Github. CertificatesGoogle Cloud Certificate - Associate Cloud Engineer. Credential ID d8e30fc1b11241f39e310ae53ea2945c