lau69

-Maintained 90%+ uptime for cloud-based services on GCP（Google Cloud Platform） -Reduced incident resolution time by 25% through proactive monitoring and automation -Improved system performance by identifying bottlenecks using Linux diagnostic tools -SQL Database: Guarded MySQL stability :optimized slow queries, connection pools, and resolved severe replication lags. -Kubernetes: Administered production K8s (GKE) clusters; utilized Headlamp UI and CLI to fast-track Pod troubleshooting (OOMKilled, routing errors) and manage daily YAML configs. -CI/CDSupport:Maintained pipelines to support application rollouts; assisted dev teams with Canary deployments and resolved routine pipeline integration error -Configuration: Administered Apollo and Disconf systems for enterprise-wide microservices; managed multi-environment configurations, namespace permissions, and successfully resolved real-time config push synchronization issues.

-Cloud-native infrastructure for Smart PV & Storage. - Full-stack monitoring (APM/AOM); Cloud (ECS, ELB, Redis). - End-to-end system integration via Southbound/Northbound interfaces. -SLO management and operational automation. -Leveraged insights from Red/Blue Team exercises to refine WAF logic and allowlist/blocklist rules, reducing mean time to detect (MTTD) and improving overall security posture without impacting business performance.

Maintained and optimized proxy servers in collaboration with Tencent, improving system uptime by 15%. Automated deployment and monitoring processes, reducing incident rates by 20%. Led incident response protocols, improving Mean Time to Recovery (MTTR) by 25%.

Managed 20+ high-profile e-commerce campaigns, increasing user retention by 10%. Automated reporting workflows in Python/SQL, reducing report preparation time from 5 days to 4 hours. Partnered with marketing and product teams to launch data-driven promotional campaigns.

Developed and deployed smart contracts on Zetrix blockchain & Solidity, enabling secure NFT issuance for 50+ projects. Analyzed user transaction data via Python/MySQL, providing insights that improved marketing conversion by 8%. Coordinated with business and technical teams to ensure smooth NFT launch processes.