Elias Neo

Designed cloud-native microservices for HR systems serving 2M+ users achieving 99.99% uptime and introduced zero-downtime deployments that reduced customer-impact incidents by 95%. Standardized Terraform + GitOps, implemented service mesh and autoscaling optimizations to cut latency 32% and cloud spend 27%.

Designed production RAG and distributed embedding pipelines that improved retrieval accuracy 31% and inference throughput 3.2× while reducing latency 45%. Built hybrid semantic+keyword search and multi-tenant secure AI architectures with automated ETL workflows.

Delivered modular Angular frontend architecture reducing UI regressions 80% and improving load times 25%; migrated legacy UI to Angular 13+ cutting bundle size 42% and raising Lighthouse performance by 38 points. Implemented test automation to boost release stability 50%.

Built Node.js backend services for streaming analytics processing 150M+ daily events, reduced API latency 34% via GraphQL federation and caching, and implemented WebSocket real-time systems that increased engagement 18%.

Developed responsive UIs and PHP backend features for enterprise SaaS, improving mobile usability scores 55% and reducing client-reported UI bugs by 30% through semantic markup and accessibility practices.

Supported engineering tasks and internal tooling improvements that increased internal tool efficiency by 20%.

Completed a Bachelor of Science in Computer Science at Nanyang Technological University, covering core computing foundations and software engineering practices.