As a frontend developer on a small team, I built a comprehensive real-time futures commodity reporting platform from scratch using React, featuring advanced data visualization, AI-powered chat assistance, and sophisticated filtering systems for financial market analysis and decision-making.
Development Deep Dive
The most challenging aspect was implementing real-time data visualization with smooth table and graph updates for commodity futures without performance degradation. I developed complex filtering systems allowing users to drill down by date ranges, specific commodities, and report types while maintaining fast query responses.
AI integration through REST APIs required careful prompt handling for the chatbot to provide contextually relevant answers about financial reports. The caching system was crucial for optimizing load times with large datasets, implementing intelligent cache invalidation strategies. Pagination features demanded efficient data chunking and lazy loading to handle extensive commodity reports while maintaining responsive user interactions across different market data timeframes.
Work Management & Process
Working within a small team structure with meetings every three days, I managed development tasks through Trello boards, ensuring consistent progress tracking and feature delivery. Pixel-perfect Figma implementation required meticulous attention to detail, while creating custom UI components when designs needed adaptation for complex financial data presentation.
AWS Amplify authentication streamlined user onboarding for financial professionals accessing sensitive market data. I integrated analytics tracking to monitor user behavior patterns and optimize the reporting interface. The tri-weekly meeting cadence allowed for rapid iteration on data visualization features while coordinating with backend teams for seamless API integration and real-time commodity data synchronization.
