I'm Andy Kuo,
a software engineer.
About Me
Backend engineer specializing in scalable distributed systems and high-throughput API design.
Led architectural refactors reducing duplicated backend logic by ~50% and accelerated CI/CD pipelines by 2~3 times through tooling optimization.
Designed batch inference mechanisms for production AI model serving and improved system RPS by 30% across microservice migrations.
Experienced in cloud-native infrastructure (AWS, Kubernetes, Docker) and building reliable, maintainable backend platforms at scale.
I excel in environments that present complex problems, as I am always eager to delve into new technologies and methodologies to refine my skills and push the envelope of what's possible.
I excel in environments that present complex problems, as I am always eager to delve into new technologies and methodologies to refine my skills and push the envelope of what's possible.
Location:
Taipei, Taiwan
Age:
28
Study:
National Chengchi University
Employment:
GUMHK
Skills
Experience
- 2025/6 ~ PresentSenior Backend Engineer @ GUMHK
- Develop and refactor production backend services using FastAPI within a 4-engineer team, improving maintainability and architectural consistency.
- Migrated dependency management from pip to uv, reducing CI/CD build time by 2~3 times and improving environment reproducibility.
- Re-architected CRUD layer using polymorphism, eliminating ~50% duplicated logic and reducing technical debt.
- Decoupled JWT authentication and RBAC into reusable FastAPI dependency injection components, improving separation of concerns and API composability.
- Designed and implemented GitHub Actions CI/CD pipelines, containerized with Docker, and deployed to AWS EC2, optimizing cost without overengineering infrastructure.
- Proposed long-term migration roadmap to transition highly customized Odoo monolith toward a microservices-based architecture.
- 2024/4 ~ 2025/3Backend Engineer / AI Engineer @ Playsee
- Designed scalable microservices using Gin (Go) integrated with self-hosted LLMs for production AI workloads.
- Built high concurrency streaming inference pipelines to generate real-time video streams across multiple AI models via Goroutines and Channels.
- Architected API-layer batch inference mechanism for custom AI models, optimizing throughput and reducing per-request inference overhead.
- Conducted stress testing and LLM quantization research to optimize inference efficiency and system scalability.
- Improved LLM interoperability through SDK optimization and applied prompt engineering techniques.
- 2021/5 ~ 2024/1Backend Engineer / Data Engineer @ Red Building Capital
- Led development of RESTful microservices across FastAPI, Gin, Spring Boot, and Django, increasing system RPS by 30%.
- Designed OAuth2-based authentication and implemented Elasticsearch-powered geographic search.
- Built CI/CD pipelines reducing deployment time by 50% and containerized services with Docker & Kubernetes (EKS).
- Developed automated data pipelines and monitoring systems using cron jobs, Elasticsearch, and Grafana.
- Built responsive web applications, and Web3 integrations (ERC-4337), blockchain event monitoring.
- 2020/7 ~ 2021/2Backend Engineer @ Syncode Encryption Development Provider
- Designed and implemented scalable RESTful APIs using Django.
- Integrated Google OAuth2 authentication to enhance security and user experience.
- Containerized and deployed services to Google Cloud Platform, reducing deployment time by 30%.
Education
2019 ~ 2020
TIBAME x Institute for Information Industry
AI/Big Data Analyst Course
2015 ~ 2019
National Chengchi University
BA Economics
Contact
I'm passionate about what I do and always eager to engage with like-minded individuals. Whether you're interested in discussing a project, sharing opportunities, potential partnerships, or just having a chat, don't hesitate to get in touch! I'm just a message away.
© 2026 Andy Kuo