Built high-performance backend systems using Golang and Node.js, implementing real-time features, optimizing API performance, and achieving significant improvements in page load times and communication latency.

• Built real-time web integration using Golang and gRPC to stream data live to users, successfully reducing page load time from 3 seconds to 1 second for enhanced responsiveness.
• Developed a scalable real-time chat service using Gin and Gorilla WebSocket to enable live communication between users and vendors, integrating Redis Streams to manage message queues and ensure accurate delivery across virtual machines.
• Enhanced message delivery efficiency by using Redis Sets for offline message storage, which reduced average communication latency from 1.1 seconds to 200ms and supported horizontal scalability without connection bottlenecks.
• Optimized server-side performance with Go-based microservices to handle background processing and task queues concurrently, reducing server load times from 700ms to 300ms and improving overall user engagement.
• Engineered a high-performance web scraper using the Rod library to extract and integrate vendor data into the store database, enabling real-time visibility of changes to users.
• Refined API performance using a combination of Node.js and Go, leading to a reduction in average page load time from 500ms to 300ms.
• Improved data handling and query performance by tuning configurations in MongoDB and ClickHouse, achieving a 30% reduction in query overhead for large-scale data operations.