Backend Engineer crafting scalable, high-performance applications at the intersection of microservices, cloud infrastructure, and system design.
Designed and implemented microservices in Go and Node.js. Developed efficient inter-service communication using gRPC/REST APIs and RabbitMQ, improving message throughput by 40%. Optimized latency through asynchronous processing and Redis caching, resulting in 25% faster response times.
Integrated RESTful APIs for real-time course browsing, enrollment, and video streaming, improving load speed by 20%. Managed complex UI states using React Query and Redux, minimizing redundant API calls by 35%.
Microservices-based stock prediction platform using Go, Node.js, and FastAPI. Automated real-time DSE stock data collection with 99% uptime. ML prediction service using TensorFlow and Keras with 93% accuracy.
Workflow automation SaaS built with Next.js and TypeScript. Enables users to design, execute, and visualize multi-step processes. Features web scraping for auto-fetching and processing structured data in real time.
Always interested in new opportunities, collaborations, and conversations about technology, system design, and backend engineering.