TAISEEN AZAM Dhaka

Remote senior frontend role focused on modernizing legacy React codebases and building high-performance SaaS features for AI products. Migrated thousands of lines from class components to hooks, reducing re-renders and improving rendering performance (22 to 58 FPS). Upgraded the toolchain from CRA/Babel to Vite and React 18 to cut build time by 87%. Implemented secure AWS Lambda-to-Azure AI authentication with Cognito OIDC, Entra WIF, and SSM token handling. Built robust canvas drawing tooling with Command/Strategy patterns, integrated multi-model AI generation under high concurrency, and created workflows converting AI outputs into downloadable text and PPTX. Developed a data visualization chat platform with React 18, TypeScript, TanStack Query/Apollo, and Chart.js, plus WebSocket-based real-time streaming and session synchronization. Led AWS CDK serverless stacks and GitHub Actions CI/CD pipelines, maintained backend API compatibility during UI rewrites, and mentored junior engineers

Worked as a remote senior frontend engineer across multiple SaaS initiatives, including a legacy-to-modern React modernization and an AI-driven data visualization/chat platform. Migrated 5,000+ LOC from class components to hooks, improving rendering performance from 22 to 58 FPS and reducing re-renders by 50%. Upgraded the toolchain from CRA/Babel to Vite and React 18, cutting build times by 87% (90s to 12s) and redesigning UI with Tailwind using 30+ reusable components while reducing CSS bundle size by 45%. Built secure keyless AWS Lambda-to-Azure AI authentication using Cognito OIDC, Microsoft Entra WIF, and SSM with cached tokens; implemented hybrid Cognito authentication for instant post-registration login. Designed robust canvas drawing state management with Command and Strategy patterns, and integrated multi-model AI selection (OpenAI, Claude, Qwen) for concurrent diagram generation and exporting AI outputs to text/PPTX. Implemented TanStack Query and Apollo optimistic UI updates