Md Moijul Islam

Software Developer with 3+ years of experience architecting and scaling robust SaaS platforms and distributed systems. Specializing in high-performance React/Next.js frontends, I bring deep expertise in managing complex UI states, progressive web apps (PWAs), and modular architectures. Backed by a First-Class CS degree, I am a product-focused engineer who takes total ownership of technical deliverables from designing modular UI systems to orchestrating fault-tolerant CI/CD pipelines to ensure predictable, high-quality releases in complex distributed environments.

Software Developer at WILXITE (2022-09 – Present)

Architecting and developing robust SaaS platforms with focus on high-performance React/Next.js frontends

• Architected a standalone react package utilizing a recursive OOP Node structure to support deeply nested drag-and-drop layouts.
• Engineered a high-performance rendering engine with Zustand and React.memo, bridging a mutable Class-based state tree with React's immutable lifecycle to maintain 60fps.
• Solved tricky UI event-bubbling conflicts by implementing a dedicated Drag Handle system for Lexical rich-text blocks, preventing accidental drags during text selection.
• Implemented a robust data-transformation pipeline with React-Email, compiling the JSON AST state directly into email-safe HTML.
• Maintained 90%+ test coverage on core drag logic using Cypress Component Testing, ensuring continuous high-quality delivery and stable CI/CD pipelines.
• Led the transition to Trunk-Based Development by implementing feature flags, decoupling code deployment from feature release and eliminating over 80% of staging environment merge conflicts.
• Managed a large-scale Next.js monorepo architecture using Lerna, enforcing strict separation of concerns and synchronized versioning between proprietary Core Logic packages and the Host Application.
• Maintained and extended a custom Dependency Injection architecture, applying Object-Oriented design principles to enable rapid deployment of secure, white-label features.
• Took sole technical ownership of frontend sprint deliverables, packaging and deploying reusable React components to internal Kubernetes clusters via Docker pipelines.
• Accelerated feature delivery by working across the full stack, contributing API updates and bug fixes to the underlying Golang backend services to unblock frontend tasks when backend resources were constrained.
• Set up a distributed IoT pipeline that separated Node.js hardware sensor ingestion from Python mathematical processing to prevent data loss.
• Utilized Claude and Gemini CLI to rapidly prototype a React Native data-gathering application, significantly accelerating the delivery of the hardware integration layer.
• Engineered an advanced Server-Driven UI architecture using Next.js, dynamically generating frontend configuration forms directly from JSON schemas.
• Solved critical accelerometer double-integration drift by prototyping Extended Kalman Filters (EKF) in Python.
• Engineered a scalable multi-tenant frontend architecture powering three major real estate brands from a single Next.js codebase, significantly reducing cross-brand maintenance overhead.
• Architected a URL-First filtering system using Next.js Server Components to synchronize complex search criteria, reducing No Results bounce rates via shareable, pre-filtered links.
• Developed a high-performance geospatial visualization interface integrating supercluster and Google Maps APIs, rendering 1000+ property markers with <200ms interaction latency.
• Built a central orchestrator component leveraging React Context to securely bridge headless CMS data, the map visualization, and the dynamic filtering UI into a unified state tree.
• Developed a resilient Next.js Progressive Web App (PWA), designing a Hard Persistence state layer via LocalStorage to prevent critical data loss during device sleep cycles and Wi-Fi dead zones.
• Designed and implemented a sequential task-finding algorithm that intelligently prioritizes available stock and manages missing items via a custom Snooze workflow, maximizing picker uptime.
• Integrated hardware keyboard-emulated barcode scanners directly into the React component lifecycle via global event listeners, significantly reducing manual data entry errors.
• Developed an adaptable, multi-language interface using Lingui i18n to support a multi-regional warehouse workforce.

BSc (Hons) in Computer Science (with Year in Industry) – University of the West of England (2024)