SENIOR FRONTEND ARCHITECT → DATA ENGINEER
I build large-scale systems in regulated industries (healthcare, genetic analysis, online ordering). Starting from user UI, gradually diving into data quality, system observability, and compliance architecture.
Data as Product
UX perspective for data schema
Observability
Make data failures visible, not silent
Modularity
Against monoliths, embrace modular pipelines
I used to build UI for 1.2 million users. But at some point I realized: the most impactful work isn't in the presentation layer—it's in the data layer.
This realization led me to data engineering. Now I architect the pipelines that power those UIs: from real-time CGM glucose data processing, to cross-border data governance compliance, to privacy-first AI analytics.
Design data schemas from a UX perspective. Understanding how users view, inspect, and use data enables truly usable data architecture.
Regulated industry experience (medical ISO 62304, genetic analysis, financial-grade). Considering audit and regulatory requirements from Day 1.
End-to-end data quality assurance. Every pipeline monitored and alerted like production systems, making failures visible and traceable.
WITS Corp / Cooler Master
Computer equipment status display and configuration system. Built custom log system for data observation and maintainability. Real-time hardware status reporting for PMs and users.
Atgenomix / Genetic Analysis Platform
TB-scale genetic analysis platform. Supported ISO 62304 certification documentation and architecture adjustments. GraphQL schema guides user operations, 75% query performance improvement.
Independent Research / POC
Solving "Audit vs Agility" conflict. Apache Iceberg + Trino with time-travel queries for ISO audit compliance.
1.2M+ Users / High Concurrency
Discovered and fixed geocoding "survivor bias" issue. Supported 10K+ concurrent users, drove distributed computing research.
Data Engineering Transition
Primary Stack
React/TypeScript as main experience, GraphQL for integration with schema-guided user operations, Node.js/Python through side projects
Domain Expertise
• ISO 62304: Certification documentation and architecture adjustments
• Observability: From Sentry to custom log systems, making logs accessible to PMs/users
• OWASP: Build threat detection environments for analysis and remediation
• Log System: Monitor device stability via logging, real-time hardware status reporting
每週精選 AI 文化科技趨勢、技術實戰心得、原住民數位轉型洞察。
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