Senior Software Engineer

• Architected and migrated fragmented microservices into a high-performance pnpm monorepo, consolidating Lambda functions, documentation, and testing suites into a unified workspace, enhancing code reusability and development speed by 40%.
• Successfully led the critical system migration of legacy Java services to Java 17, ensuring security compliance, long-term maintainability, and improved runtime performance.
• Resolved critical latency alerts for high-traffic AWS Lambda APIs by re-architecting OpenSearch queries and implementing aggressive caching strategies, significantly reducing API response times.
• Championed engineering excellence by refactoring legacy codebases and establishing rigorous CI/CD benchmarks using Terraform for predictable Infrastructure as Code (IaC) deployments.

• E-commerce Transformation: Developed a fully serverless e-commerce platform for a prominent Taiwan-based F&B chain (Fried Chicken) using AWS Amplify, Lambda, and DynamoDB to support scalable retail operations.
• Security & Identity: Implemented secure user authentication and Role-Based Access Control (RBAC) via AWS Cognito, ensuring safe administrative access for order management and inventory control.
• Optimized Delivery: Deployed a responsive frontend via S3 and CloudFront, ensuring low-latency content delivery and stable performance during peak traffic periods.
• End-to-End Delivery: Managed the full SDLC for regional SMEs, translating complex business requirements into technical solutions that digitized traditional retail workflows.

• Architected and automated CI/CD pipelines for enterprise visualization platforms using Python and GitHub Actions, significantly reducing manual deployment efforts and operational risks.
• Led the migration and integration of enterprise applications by developing REST API automation scripts, streamlining Tableau workbook operations across the organization.
• Provided Level 3 application support for critical enterprise systems (MS SQL, Oracle), ensuring high availability and conducting user training to facilitate system adoption.

• Full-Stack Performance Optimization: Spearheaded the development of scalable features using Next.js and GraphQL on AWS; revamped the core homepage to significantly enhance UI/UX and SEO (30% Core Web Vitals improvement) in partnership with marketing.
• System Efficiency & Scalability: Engineered a multi-threaded image processing server using Python Flask, reducing processing time by 30% and optimizing CPU utilization for high-volume traffic.
• Engineering Productivity & DevOps: Doubled team execution efficiency by integrating NX monorepo into the development workflow and automating manual deployment processes.
• Data-Driven Growth: Integrated comprehensive analytics suites (GA, GTM, Adobe Analytics, Meta Pixel) to enable data-driven decision-making for product features.
• Leadership & Mentorship: Mentored engineering interns to foster professional growth and delivered strategic technical insights during all-hands meetings to align engineering goals with business objectives.

• Led end-to-end product development for a healthcare platform, architecting a scalable RESTful API with Node.js and PostgreSQL to support business growth.
• Engineered a secure payment infrastructure by integrating global gateways (Stripe, AliPay) and fortifying the system with data encryption against SQL injection and XSS vulnerabilities.
• Modernized deployment workflows by implementing automated CI/CD pipelines (CircleCI, BitBucket) on AWS, reducing manual deployment errors by 80% and accelerating release cycles.
• Collaborated closely with UX designers to deliver user-centric features and accessible interfaces using React.js and TypeScript.

A serverless financial data platform built on Cloudflare Workers for real-time stock analysis and tracking.

• Architected a serverless data pipeline using GitHub Actions to automate daily stock data ingestion into Cloudflare D1 (SQL).
• Implemented a low-latency caching layer using Cloudflare KV for frequently accessed market indicators.
• Integrated Hugging Face Inference API to provide real-time price trend insights directly on the edge.

A minimalist, precision-focused brewing utility for specialty coffee enthusiasts.

• Designed a high-performance, mobile-first web utility using Next.js and TypeScript, optimized for instantaneous load times on the edge via Cloudflare.
• Implemented precision timing logic and interactive UI components to guide users through complex brewing recipes.
• Focused on zero-latency user experience and minimalist design principles for real-world usability.