SUBHAM NASKAR

Performance Engineering State Management Architecture System Architecture & Data Visualization Data Management & Excel Integration Technical Leadership & Code Quality

• Eliminated memory leaks in useEffect hooks across dashboard components, implementing proper cleanup for event listeners, timers, and subscriptions
• Optimized table virtualization using @tanstack/react-virtual for large datasets with improved scroll performance
• Implemented React.memo and useMemo for heavy computation components to reduce unnecessary re-renders
• Established lazy loading for heavy components using React.Suspense to reduce initial bundle size
• Migrated complex components from useState to useReducer pattern, eliminating race conditions for financial dashboard widgets
• Architected Recoil state management with atoms for global filters and automatic cleanup on route changes
• Built debounced search hooks to optimize API calls during user interactions
• Engineered user preference management system with filter and column preference persistence using Recoil and RESTful APIs
• Architected JSON-driven configuration system that eliminates boilerplate React components, enabling rapid report creation without code changes
• Built comprehensive charting platform with Excel-like functionality supporting multiple chart types and aggregation functions
• Designed modular dashboard framework with reusable components and real-time synchronization for enterprise dashboards
• Created dynamic view management interface with tabbed settings panels and save/load/delete functionality
• Optimized React Query integration with intelligent caching strategies for financial reports
• Engineered Excel generation system with tenant-specific formatting rules and dynamic decimal precision for financial data
• Implemented advanced filtering framework with date ranges, multi-select dropdowns, and real-time state synchronization
• Created custom hooks to reduce code duplication across components
• Implemented error boundaries for dashboard widgets with fallback UI for critical financial data displays
• Mentored developers and interns on React lifecycle best practices, reducing production bugs and improving code review processes

• Conducted EEG acquisition research focusing on advanced visualization and feature extraction techniques for brain-computer interfaces
• Developed data processing algorithms for neural signal analysis using Python and machine learning techniques