Hello, I'm Daniel

GDS, Whole-of-Government Application Analytics (WOGAA).

• Architected cloud solutions across 20+ AWS services and refactored GitLab CI/CD pipelines across 15+ projects, cutting pipeline execution time by 40%
• Built a centralized Terraform module repository shared across 10+ projects, onboarding 50+ unmanaged microservice resources
• Developed a Golang ChatOps platform automating 4 operational workflows and provisioning ephemeral CI environments, plus 7 event-driven automations saving ~20 man-hours per week
• Designed a multi-region, fault-tolerant synthetic monitoring system in Golang tracking uptime across 5,000+ government websites
• Built a pipeline integrating Security Hub and Prowler findings with remediations across 3 environments, raising CIS scores by 20%+
• Engineered layered network defenses (Network Firewall, WAF) blocking ~100 malicious IPs

NUS Sheares Hall Residents Committee — dev and ops for 500 active residents.

• Built a Liquibase + Golang pipeline to declaratively process 2,000+ rows of CSV data, saving ~15 man-hours per onboarding cycle, cutting change failure rate by 70% and MTTR to 5 min
• Migrated legacy monolithic systems to AWS microservices, reducing costs by 86% ($893 to $120/year)
• Architected a PostgreSQL schema optimized with indexes and materialized views to cut query time by 65%, enforcing business logic with procedures and triggers
• Introduced an automated Gale-Shapley CCA allocation system in Golang, eliminating ~50 man-hours of manual work per semester
• Led development of the Sheares App (React Native, Expo, Figma), used monthly by 500 active residents and boosting hall event participation by 20%
• Built an internal AI platform automating routines and auditing fairness in hall points allocation, backed by a saturated non-linear GAP formulation