Kris h S u th ar k p su th ar

Developed and maintained scalable RESTful APIs and microservices using Java, Node.js, and Express.js for enterprise-grade applications. Built responsive front-end solutions with React.js, Next.js, HTML5, CSS3, Tailwind CSS, and jQuery. Integrated Generative AI capabilities using OpenAI APIs/LLMs, prompt engineering, and RAG to enhance business workflows and automation. Designed and optimized MongoDB, PostgreSQL, MySQL, and SQL Server, reducing query response times by 40%. Deployed cloud-native applications on AWS and Azure using Docker, Kubernetes, AWS Lambda, and Azure DevOps CI/CD, reducing release cycles by 30%. Conducted API and UI testing with Postman and Cypress, improving stability and reducing production defects. Collaborated with product managers, QA engineers, and developers within Agile/Scrum teams for secure, high-performance deliveries.

Developed and maintained scalable RESTful APIs and microservices using Java, Node.js, and Express.js for enterprise-grade applications. Built responsive front-end solutions with React.js, Next.js, HTML5, CSS3, and jQuery to improve user experience and application performance. Integrated Generative AI capabilities using OpenAI APIs, LLMs, prompt engineering, and RAG architectures to enhance business workflows and automation. Designed and optimized MongoDB, PostgreSQL, MySQL, and SQL Server data models, reducing query response times by ~40%. Deployed cloud-native applications on AWS and Azure using Docker, Kubernetes, AWS Lambda, and Azure DevOps CI/CD pipelines, reducing release cycles by ~30%. Conducted API and UI testing using Postman and Cypress to improve stability and reduce production defects. Collaborated with product managers, QA engineers, and developers within Agile/Scrum teams including sprint planning, code reviews, and feature delivery.

Developed and maintained scalable enterprise RESTful APIs and microservices using Java, Node.js, and Express.js. Built responsive front-end solutions using React/Next.js and UI technologies to improve user experience and application performance. Integrated Generative AI features using OpenAI APIs, LangChain, LLM-powered workflows, prompt engineering, and RAG to automate and enhance business processes. Optimized database performance across MongoDB, PostgreSQL, MySQL, and SQL Server, reducing query response times by 40%. Deployed cloud-native applications on AWS and Azure using Docker and Kubernetes along with CI/CD pipelines (reduced release cycles by 30%). Conducted API and UI testing with Postman and Cypress, improving stability and reducing production defects. Supported agile processes including sprint planning, code reviews, monitoring dashboards, and production support; delivered secure APIs (40+ REST endpoints) with authentication and authorization.