Frontend Developer & Full Stack Web Dev

A comprehensive, high-conversion landing page for DUHANI designed to transform visitor traffic into qualified leads through strategic UX principles and data-driven design decisions. The project involved extensive market research to identify key user pain points and motivations, followed by the development of a clean, visually compelling interface that guides visitors through an optimized conversion funnel. By implementing sophisticated Framer Motion animations that highlight key product benefits without compromising load times, the design achieves the perfect balance between visual appeal and performance. The architecture employs a component-based approach with React and Tailwind CSS, allowing for rapid iterations based on A/B testing results and enabling the client to achieve a remarkable 35% increase in conversion rates within the first month post-launch.

A comprehensive redesign of the Emamarkets digital presence, employing a mobile-first strategy to address the company's rapidly growing mobile user base while enhancing overall brand perception. The project began with extensive user research and competitive analysis to identify critical pain points in the existing interface, followed by the creation of a visually striking design system that maintains consistency across all touchpoints. By implementing advanced GSAP animations that respond intelligently to user interaction patterns, the new landing page creates memorable experiences that significantly increase engagement metrics. The architecture prioritizes performance through careful optimization of JavaScript execution and asset loading, resulting in a 40% improvement in page load times and contributing directly to the 25% reduction in bounce rates observed post-launch. This project represents a perfect synthesis of aesthetic appeal and technical excellence, delivering measurable business results while elevating the brand's market position.

A comprehensive upgrade to Patungan's customer relationship management platform, transforming their legacy system into a modern, feature-rich solution that addresses complex enterprise requirements while maintaining an intuitive user experience. This second-generation CRM implements a microservices architecture built on the MERN stack (MongoDB, Express, React, Node.js), enabling seamless scalability and future extensibility. The system features real-time data synchronization across departments, intelligent workflow automation, and advanced data visualization dashboards that provide actionable insights for decision-makers. A significant technical achievement was the development of a sophisticated data migration pipeline that allowed for zero-downtime transition from the legacy system while maintaining data integrity and historical records. Post-implementation metrics showed a 42% increase in team productivity and a 38% reduction in customer response times, directly contributing to improved customer satisfaction scores and higher retention rates.

The inaugural customer relationship management system for Patungan that revolutionized their client interaction process by transitioning from fragmented spreadsheets to a cohesive, centralized platform. This foundational system introduced critical functionality including contact management, interaction tracking, opportunity pipeline visualization, and basic reporting capabilities tailored to the company's unique workflow requirements. Leveraging Angular's component architecture paired with Firebase's real-time database capabilities, the platform delivered a responsive interface that worked seamlessly across devices while maintaining data consistency. The implementation included comprehensive data migration from legacy systems, custom user permission structures, and an intuitive dashboard that reduced the learning curve for non-technical staff. This pioneering solution established the technical foundation and user experience principles that would guide the evolution of Patungan's customer management ecosystem, setting the stage for the more advanced features implemented in Version 2.

A comprehensive enterprise resource planning solution that transformed Boxity's fragmented operational infrastructure into a unified, data-driven ecosystem connecting finance, inventory, sales, procurement, and human resources. The system architecture employs a sophisticated React-Redux frontend communicating with a highly optimized Node.js backend, with all data persisted in a carefully designed PostgreSQL database that ensures data integrity while enabling complex analytical queries. Key innovations include a dynamic workflow engine that adapts to changing business processes without requiring code changes, a powerful permissions system that provides granular access control across organizational hierarchies, and a customizable reporting module that allows non-technical users to extract meaningful insights from operational data. The implementation process involved extensive stakeholder collaboration, meticulous data migration from legacy systems, and phased deployment to minimize operational disruption. Post-implementation metrics demonstrated a 40% increase in operational efficiency, 28% reduction in inventory carrying costs, and 65% faster month-end closing process, delivering substantial ROI while positioning Boxity for scalable future growth.

A sophisticated financial management platform for Octans that revolutionizes how the organization visualizes, analyzes, and acts on complex financial data across multiple business units. Built on a modern Next.js framework with TypeScript for bulletproof type safety, the application features a comprehensive suite of interactive data visualization components powered by Chart.js, enabling stakeholders to identify trends and make data-driven decisions with confidence. The system architecture prioritizes both security and performance, implementing industry-leading encryption protocols for sensitive financial data while utilizing advanced caching strategies and code-splitting techniques to ensure rapid dashboard loading even with massive datasets. Beyond standard financial reporting, the platform incorporates predictive analytics modules that leverage historical data to forecast cash flow trends, budget variances, and potential investment opportunities. The implementation process included meticulous integration with existing accounting systems, custom API development for real-time data exchange, and the creation of a flexible permission structure that allows for granular control over sensitive financial information access.