Software Developer Engineering

Raja

g Maharaja Thiyagarajan Æ +1-947-***-**** [ ****.*******@*****.*** LinkedIn GitHub California Education

University of Michigan Dearborn August 2022 – April 2024 Master of Science in Software Engineering Dearborn, Michigan Work Experience

University 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 2023

Software 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 Nissan’s vehicle module, attracting Nissan’s 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. Projects

Intelligent 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 Skills

Languages: 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. Certificates

Google Cloud Certificate - Associate Cloud Engineer. Credential ID d8e30fc1b11241f39e310ae53ea2945c

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