Jul 2024 – Oct 2025 · 1 yr 3 mos · Singapore

• Support TikTok’s Data & Algorithm platform by developing and maintaining core infrastructure and systems
• Manage cross-regional (USA, EU, CN), inter-department collaborations for new data center deployment projects
• Collaborate with cross-regional intra-department teams to ensure smooth deployment of new features in all regions
• Develop new front-end control dashboard (Typescript, React, Python) with features for improving day-to-day operations & disaster recovery efforts, improving on-call response and problem diagnosis time
• Develop and maintain CI/CD pipelines for new infrastructure deployments, upgrades and tests (Python, Bash) integrated with front-end control dashboard, improving long-term reliability
• Manage production uptime and resources via internal containerization platform (Kubernetes)
• Strategize and implement SLA metrics, SLI monitoring and alerts for critical machine learning model uptime and performance
• Provide support and debugging for machine learning model related services on Linux-based machines

Jan 2023 – May 2023 · 4 mos · Singapore

• Designed and implemented data aggregation & preprocessing full-stack application with Next.js for consolidating cross-platform events to provide business insights on service performance
• Overhauled end-to-end tests’ provision mechanism in Go to integrate Provision on Demand Graph API for Azure Active Directory Sync integration, leading to leaner and more stable builds with 8x speed increase
• Improve CI/CD pipeline and build processes by resolving data race conditions on multi-branch Jenkins pipelines

May 2022 – Jul 2022 · 2 mos · Singapore

• Consulted management on potential improvements to company using technology
• Liaised with stakeholders to understand department operations, concerns, and inefficiencies
• Streamlined existing company processes by programming applications and onboarding external tools to increase employee productivity
• Established standard operation procedures via documentation and training to staff
• Reduced routine menial work time up to 14 hours weekly