Nipun Himash Wedisinghe

• Engineering AI-based software products leveraging large language models, integrating AI into web applications using OpenAI and DeepL. Utilized front-end frameworks ReactJS, NextJS with TypeScript, along with Zustand for client-side state management.
• Skilled in direct client collaboration for requirements gathering and throughout the whole product life cycle to deliver tailored solutions.
• Server-side development with NodeJS, ExpressJS, and NestJS. Utilizing PostgreSQL with Prisma ORM.
• Experienced in creating and deploying CI/CD pipelines with GitHub Actions. With hands-on knowledge in Docker and optimization of Docker containers.
• Utilizing AWS serverless architecture (AWS Lamba, AWS Amplify).
• Deployment experience with AWS ECS and ECR with AWS Fargate and AWS EC2.
• Building python task Schedulers with celery and BullMQ.
• Experienced in writing E2E testing with Cypress.

• Developed an enterprise-grade commercial compliance management application, leveraging frontend web frameworks React, Angular, and AngularJS. Architected AWS Serverless solutions, enhancing scalability and efficiency.
• Introduced an innovative method to resolve lambda secrets at runtime, enhancing security by minimizing exposure during function execution.
• Experianced with NodeJS for server-side programming and managed NoSQL databases (MongoDB/DynamoDB). Utilized AWS services (EC2, S3, Lambda, Cognito, Fargate) to optimize application performance.
• Engineered pipelines on Azure DevOps, streamlining deployment processes. Automated API testing with Postman and E2E testing with Cypress, ensuring robust quality assurance.
• Optimized DB migration scripting and collaborated closely with product owners to gather requirements. Crafted user stories and updated existing ones as per client needs.

• First Class Honors
• GPA: 3.70

Sri Lanka

An AI powered platform that enables employers to assess candidate skills through customizable simulations, streamlining the hiring process.

An upcoming platform that offers a comprehensive coding assessment environment for technical interviews — like Vercel, but for interviewing.

• Developed a robust feature flag management system for dynamic control of application features.
• Frontend: Built using Next.js (App Router) with React and Typescript, hosted on Vercel for seamless deployment.
• Backend: Designed scalable APIs with NestJS and a cloud Postgresql server as the database and drizzle ORM, hosted on a container service provider with CI/CD enabled.
• Packaged an NPM library for easy integration with web applications.
• Implemented Role-based flags that enables users to define their own set of roles and have multiple configurations for a given flag for each role specified.
• User-level flag visibility for more granular control, enabling to deliver new features for only a subset of users.
• Achieved Transport layer data encryption with RSA ensuring secure flag data transmission.

• Contributed to an open source theme builder project.
• The Platform enable UI/UX designers to avoid the hassle of coding, and enable real-time theme building with a graphical interface.
• Developed the addition of new Shadcn charts for the platform which was missing in the initial releases.

• Developed an extension for VS Code with TypeScript, automating the insertion of print statements for selected text.
• Enhanced developer efficiency by showing file names, line numbers, and logged variables, significantly optimizing the debugging workflow.
• Achieved reduction in debugging time by eliminating extra coding steps by hand.
• Introduced beta support across JavaScript, TypeScript, C#, Java, and Rust languages, expanding functionality and adoption among diverse developer communities.

• Developed an Image Quote Generator application enabling users to create images with random quotes from authors or personalized inspirational thoughts.
• Implemented the frontend using React, TypeScript, and Tailwind CSS, deployed on Netlify.
• Implemented the backend in Python, utilizing AWS Serverless architecture with Docker containers on Lambda functions.
• Established a CI/CD workflow with GitHub Actions, automating backend deployment on AWS and frontend deployment on Netlify upon merging PRs to the production branch.
• Utilized AWS services including S3, Lambda, ECR, API Gateway, and CloudWatch Logs, ensuring robust functionality and comprehensive monitoring.