Senior Full-Stack JavaScript Developer

• Developing visual workflow builder with drag-and-drop interface enabling users to design custom AI conversation flows and lead qualification sequences without code • Architecting frontend infrastructure for AI sales assistant MVP, establishing React component patterns and state management strategies for scalable development • Building type-safe component library using TypeScript and React, creating reusable UI primitives that accelerate feature development during MVP iterations • Optimizing bundle size and render performance, achieving 28% load time reduction through code splitting and lazy loading strategies

• Developed full-stack tax filing solution serving 5,000+ registered tax offices processing 50,000+ annual returns, building scalable Node.js backend and React frontend that maintained 99.8% uptime • Engineered complex tax calculation engine implementing FBR regulations, deductions, and credits across multiple return types, achieving 99.7% calculation accuracy • Built comprehensive React dashboard for tax professionals featuring automated computation workflows, client management, and real-time filing tracking, reducing processing time by 40% • Optimized API performance and database queries reducing response times from 450ms to 315ms (30% improvement), ensuring smooth operations during peak season traffic • Led code reviews for 3-member development team and collaborated with DevOps engineer on deployment workflows, reducing production bugs by 18% during critical tax season

• Engineered scalable Node.js backend infrastructure supporting 15K+ daily active users with 99.9% uptime across competitive gaming platform • Integrated multiple third-party payment providers (EasyPaisa, SimPaisa, PayFast) implementing payment initiation flows, webhook-based confirmation handling, transaction state management, retry logic for failed payments, and refund/reversal workflows • Optimized MongoDB query performance and implemented Redis caching strategy, reducing data retrieval time by 45% (from 280ms to 154ms average) • Developed real-time leaderboard system using RabbitMQ and Redis Pub/Sub, processing 30K+ score updates daily with <100ms latency • Built WebSocket-based messaging platform enabling real-time chat between 10K+ concurrent users, increasing daily engagement time by 35% • Implemented comprehensive API documentation (Swagger) reducing integration time for third-party developers by 50%