rayincosmos

1. Led delivery of end-to-end solutions by guiding cross-functional teams of 2–3, achieving enhanced collaboration and code quality, by developing AI LLM applications. 2. Optimized API interactions with robust solutions, resulting in a 35% improvement in request processing time. 3. Improved Retrieval-Augmented Generation (RAG) accuracy by 20%, as measured by higher response precision, by optimizing search methods. 4. Transformed 80% of company codebase to automated deployments, as evidenced by version-controlled infrastructure, by leveraging Terraform and FluxCD for CI/CD and GitOps practices. 5. Enhanced system scalability and availability by 30%, as demonstrated by company-wide Kubernetes adoption, by independently implementing Kubernetes from scratch and optimizing cluster configurations. 6. Reduced team debugging time by 10%, as measured by faster issue resolution, by introducing comprehensive monitoring systems with OpenTelemetry and Grafana.

1. Built a scalable distributed Job Queue system, supporting 1,000 concurrent users, by designing with Redis and validating with K6 load testing. 2. Improved login experience for 70% of online platform services, as measured by enhanced user authentication flow, by integrating OAuth protocols. 3. Reduced Node.js memory usage by 30%, as verified by performance metrics, by implementing C Addon optimizations to address memory leaks. 4. Cut AWS cloud costs by 50% while maintaining service availability, as confirmed by billing reports, by optimizing K8S, EC2, ECR, and CloudFront configurations.

1. Reduced firmware update load time by 70%, as measured by improved update performance, by optimizing update processes. 2. Increased quality inspection efficiency and accuracy, as shown by improved QC outcomes, by developing Vue.js-based interfaces and standardized SOP testing rules.