Summary
A product-minded Senior Software Engineer with 9+ years of experience across backend development and technical leadership. Hands-on builder bringing AI-augmented engineering workflows into daily team practice, from agentic programming to LLM evaluation.
Work Experience
Senior Software Engineer in Test
GoFreight
Jan. 2024 - Feb. 2026
- Architected AI evaluation platform for production LLM applications using promptfoo and custom Python pipelines, establishing automated quality metrics across product teams and reducing manual validation overhead by 70%
- Migrated E2E testing from legacy framework to TypeScript and Playwright, applying AI-assisted test generation and script refinement to reduce manual effort by 75% and implementation time by 80%
Backend Tech Lead
AsiaYo
Sep. 2022 - Aug. 2023
- Led cross-functional team of 6 members (2 Backend, 1 Frontend, 1 QA, 2 PMs) shipping complete product line features for internal systems and B2B integration, delivering on committed scope across multiple product cycles
- Drove technical planning and system design for three new business initiatives, translating product requirements into scalable backend architectures with zero-downtime rollouts
- Accelerated team delivery through custom automation and a strategic planning framework built on ClickUp, reducing meeting overhead by 50%, project delays by 30%, and improving sprint predictability to over 95%
- Adopted dbdiagram and dbdoc as a doc-to-code workflow for database schema design, turning diagrams into shared communication artifacts across backend, frontend, and product teams
Backend Engineer
AsiaYo
Aug. 2017 - Sep. 2022
- Executed strategic database refactoring consolidating 21 tables into 4 with zero downtime through dual-write migration, reducing development resources by 60% and enhancing query performance
- Optimized image processing infrastructure through AWS Lambda serverless architecture with S3 event triggers, reducing operational costs by 50%
- Built and operated production-grade monitoring stack integrating Prometheus, Grafana, and ELK with custom alerting, enabling proactive issue detection and reducing error resolution time by 40%
- Transformed legacy monolithic crawler into cloud-native microservices using Docker and Kubernetes, reducing execution time by 60%