• Designed a high-performance AI chatbot integrated with WordPress, using Next.js, Zod, Prisma, shadcn UI, NextAuth.js, and Nginx on Linode VPS. Handles ~5k daily requests, with data managed by Supabase and Vercel Blob, notifications via Resend.• Implemented CI/CD pipeline using GitHub Actions, optimizing development workflow and deployment of chatbot and dashboard updates, configured system security through UFW firewall and enabled user-specific OpenAI API key integration• Developed a full-stack open-access textbook with Next.js dashboard, used PM2 process manager for optimal performance, resulting in an AI-powered educational platform, custom authentication, and flexible OpenAI API utilization

• Optimized the GitWit Client, a React web-app, by integrating Firebase for backend, OpenAI for code generation, and Clerk for authentication. Used Vercel for deployment, resulting in a smoother user experience and optimized code generation speed.• Built ReactEval, a ReactJS Codegen Evaluation Framework using E2B, to process user prompts and analyze output, leading to 40% improved testing efficiency and 25% reduced debugging time via automated error and screenshot capture.• Architected the GitWit Codegen Server using ExpressJS and Node.js, developing an API endpoint for real-time code modification and dependency resolution, improving code processing speed by 25%.• Incorporated Sandpack from CodeSandbox for a web-based code editor. Used Cloudflare Workers for scalable backend, boosting real-time code editing performance by 30%. Used Docker for consistent deployment across environments.

• Designed a CRM system using React.js, Node.js, and Firebase, enhancing field service efficiency. Built scalable web and mobile apps with Next.js, Flutter, and Express.js, achieving faster response times with a GraphQL API and MongoDB.• Led a team of 5, implementing Agile methodologies, DevOps, Git, and CI/CD, reducing SaaS deployment time by 25%. Improved performance and scalability with AWS, Azure, and serverless functions for microservices.• Optimized cloud infrastructure with auto-scaling and container orchestration using Kubernetes and Docker, integrating Sentry for real-time error tracking. Enhanced resource management and reduced costs through performance tuning.