taiseen

Key Initiative: AI Canvas Whiteboard

• Migrated 5,000+ LOC from class components to functional components and hooks, reducing re-renders by 50% and increasing rendering performance from 22 to 58 FPS on mid-tier devices.
• Upgraded build toolchain from CRA/Babel to Vite and React 16 to React 18, slashing build times by 87% (from 90s to 12s), and redesigned UI with Tailwind CSS, creating 30+ reusable components and reducing CSS bundle size by 45%.
• Engineered secure, keyless AWS Lambda-to-Azure AI auth using Cognito OIDC, Microsoft Entra WIF, and SSM with cached Bearer tokens, & implemented hybrid Cognito auth (OTP + email link) for instant post-registration login.
• Applied Command Pattern for canvas drawing tools (undo/redo) and Strategy Pattern for dynamic renderer selection based on AI JSON responses, maintaining robust state consistency.
• Integrated a multi-AI model selector (OpenAI, Claude, Qwen) for context-aware diagram generation, handling 50+ concurrent requests, and built a cross-stack workflow that converts AI outputs into downloadable text and PPTX files.

Key Initiative: AI Data Visualization Chat Platform (SaaS)

• Architected the frontend using React 18, Vite, and TypeScript, utilizing lazy loading and code splitting to reduce initial bundle size by 40% and improve LCP by 35%.
• Implemented TanStack Query for REST endpoints and Apollo GraphQL for optimistic UI updates, cutting redundant API calls by 60% and improving perceived performance.
• Integrated AWS Amplify Auth with custom token management & client-side RBAC aligned with backend authorization for 3-tier SaaS subscriptions, securing routes across all user tiers.
• Built WebSocket-based real-time streaming with cross-browser session synchronization, enabling stateless chat continuity where users can access active AI conversations from any device/tab using shareable URLs without losing stream context.