Rajgopal M S

About Rajgopal M S

Senior Software Engineer with 4+ years of experience building scalable, high-performance web applications with a strong focus on Angular-based UI architecture, AI-driven automation, and cloud-native systems on AWS.I specialize in designing modular frontend architectures using RxJS and NgRx, optimizing performance (improved dashboard load time by 98%), and building enterprise-grade platforms that scale.Recently, I’ve been leading LLM-powered AI initiatives, including:• Conversational AI systems using OpenAI APIs and semantic search• Vector-based intelligent application discovery• AI-driven code generation and infrastructure automation• Cloud-native CI/CD pipelines using AWS and JenkinsI’ve worked across multiple enterprise products, owning end-to-end delivery from system design and backend APIs (Spring Boot) to cloud deployment and production stability.

Experience

1. Senior Software Engineer

   Zycus

   Jul 2024 — Present · IN

   As a Senior Software Engineer at Zycus, I lead the design and development of scalable, enterprise-grade Single Page Applications using Angular, TypeScript, RxJS, and NgRx, driving modular UI architecture and performance optimization across multiple products.I architect and integrate secure, high-performance RESTful APIs using Spring Boot and Node.js, implementing enterprise authentication mechanisms with Azure AD and JWT. Spearheaded performance engineering initiatives that improved dashboard load time by 98%(5 mins → 3 secs), significantly enhancing user experience and system scalability.Designed and published reusable Angular component libraries via npm to standardize UI patterns and accelerate cross-team development. Ensured high code quality and maintainability with 90%+ automated test coverage using Jasmine, Karma, and CodeceptJS.Led CI/CD pipeline design and cloud-native deployment strategies using AWS CodeBuild, GitHub Actions, and Azure DevOps, with hands-on implementation across AWS services including Lambda, Athena, and S3.Contribute actively to system design discussions, architecture decisions, Agile sprint planning, and peer code reviews. Leveraged AI-assisted development tools such as Cursor AI to optimize debugging workflows and improve engineering productivity across large-scale Angular codebases.

Education

• Sri Krishna Institute Of Technology

  BE - Bachelor of Engineering, Information Science and Engineering

  2015 — 2019