Saipavan Veeravalli

Work Experience

• Built WordPress and backend services using PHP and Java across multiple environments. Handled plugin and theme development, API optimizations, and implemented CI/CD pipelines with Docker containerization.
• Developed full-stack e-commerce platforms with Next.js and Node.js (Fastify). Implemented GraphQL APIs and vector DBs, integrated CMS platforms (Strapi, Payload), and developed AI-powered product features.

• Developed and maintained custom web applications and admin dashboards for GCC region clients, managing requirements and project delivery. Implemented database design and performance optimization.
• Integrated third-party tools via webhooks to automate client workflows. Built automated testing pipelines, deployed on cloud infrastructure and maintained monitoring and logging.

• Developed Node.js payment authentication APIs with asynchronous request handling and middleware patterns. Implemented error handling, request validation, and non-blocking database operations for secure transactions.

Technical Skills

Languages: JavaScript, TypeScript, Python, Java, C/C++

Frontend & Full-Stack: React.js, Next.js, Tailwind CSS, Node.js, NestJS, Fastify, Express.js

Tools: PostgreSQL, MySQL, MongoDB, Docker, AWS, GitHub Actions, Jest, GraphQL, WordPress, Strapi

Projects

• Built a full-stack SaaS MVP with a website widget and extension for QA teams and clients to capture feedback and log issues directly to BugRadar. Supports different staging environments with email notifications, team management, and project management all in one place.
• Trained an AI model to analyze bug reports and screenshots, generating clearer titles, priority levels, and debugging hints for developers, reducing setup time by up to 40%. Implemented confidence scoring and intelligent fallback to maintain high report quality across all submissions.
• Built real-time collaboration features with role-based access control for QA, developers, managers, and client-specific roles. Integrated Cloudflare R2 for attachment storage and multi-organization support.

• Built a browser-first image compression tool that helps developers speed up webpages by scanning and compressing all images in one operation with real-time page speed metrics and compression results.
• Implemented Web Workers and WebAssembly to handle compression locally in the browser without sending files to the server. Built target-size optimization, webpage scanning, and batch processing with presets.
• Published an MCP server (compressbyurl-mcp on npm) enabling AI agents and developers to automate image optimization in workflows. Supports auditing up to 1,000 images per run with optimization plans, image-size budgets in CI/CD pipelines, and processes everything locally.

Education