About Me
Senior Backend / Platform Engineer with 6+ years of experience designing and building cloud-native backend systems, shared platform capabilities, and production infrastructure on AWS and EKS. Experienced in operating high-traffic services serving 2.5M+ users and ~10K peak RPS, with deep focus on system design, authentication, authorization, API design, performance, reliability, CI/CD, and observability.
Strong track record of turning ambiguous business requirements, production bottlenecks, and repeated integration work into scalable engineering systems: designed reusable authentication and service bootstrap patterns across ~20 backend services, reduced critical service latency by up to 77%, improved throughput from 300 to 500 RPS, resolved high-traffic database bottlenecks, and reduced CI/CD pipeline time from 40 minutes to 20–25 minutes.
Experiences
- Owned backend and platform services for a high-traffic web portal and mobile app serving 2.5M+ users and ~10K peak RPS on AWS + EKS, ensuring reliable authenticated user journeys during campaign and push-notification traffic spikes of ~200K users.
- Designed and built the company’s core post-login authorization service from 0 to 1, defining service boundaries, API access validation, token handling, and identity lifecycle management for business-critical membership and authorization flows.
- Designed reusable OIDC/SSO integration patterns through authentication SDKs and API service templates adopted by ~20 backend services, reducing authentication integration and service bootstrap effort by ~80% while improving consistency across teams.
- Led performance baselining, load testing, and tuning for authenticated authorization services, reducing critical endpoint latency by up to 77% and increasing throughput from 300 to 500 RPS.
- Investigated and resolved a complex multi-service production incident during traffic spikes, reducing DB CPU from >85% to 20–30%, eliminating timeouts, and lowering operational risk for login-dependent flows.
- Standardized IaC-based CI/CD workflows, CloudWatch dashboards/alarms, centralized logging, and audit logging across Spring Boot and Python backend services, cutting pipeline time from 40 minutes to 20–25 minutes and reducing incident investigation time by ~30%.
- Designed and operated a shared redirect service across web and mobile entry points, covering routing rules, whitelist validation, SSO handoff, Kafka-based asynchronous event delivery, and click-tracking flows for hundreds of pages, dozens of brands, and millions of product cards.
- Tech:
- Languages: Python, Java
- Frameworks: FastAPI, Spring Boot
- Datastores: PostgreSQL, Redis, DynamoDB, DocumentDB
- Cloud/Infra: AWS (EKS, S3, SQS, SNS, Lambda, CloudWatch, MediaConvert)
- Tooling: Terraform, Helm, Docker, Kubernetes, Istio
- Testing/Perf: k6, Vegeta
- Owned backend APIs for a 100K+ user online learning platform with ~4K DAU, supporting revenue- and retention-critical workflows across cart, payment, learning progress, membership, internal admin workflows, revenue sharing, and coupon systems.
- Upgraded a Laravel monolith from v7 to v10 in 2 months through incremental migration, compatibility validation, and unit-test coverage, reducing legacy framework risk and improving API p99 latency by 20%.
- Resolved critical MySQL performance bottlenecks through request-path profiling, EXPLAIN analysis, index tuning, and schema refactoring, reducing hot-path query time from 10–20 seconds to ~1 second and improving key workflow responsiveness.
- Operated the AWS production stack across ALB, EC2, and RDS, covering CI/CD, autoscaling, CloudWatch dashboards/alarms, load testing, release verification, and post-release monitoring to improve availability and release safety.
- Improved monitoring and incident response with Slack alerting, reducing MTTD by ~80% and shortening issue detection time for user-facing and operational flows.
- Built asynchronous backend workflows with SQS + Lambda for LINE notifications and personalized recommendations, contributing to repeat engagement initiatives that improved retention by ~20%.
- Tech:
- Languages: PHP, JavaScript, Python
- Frameworks: Laravel, Lumen, Vue, Nuxt
- Datastores: MySQL, SQLite
- Cloud/Infra: AWS (EC2, ALB, RDS, SQS, Lambda, CloudWatch, ECR, S3)
- Tooling: Docker, Docker Swarm, OpenAPI/Swagger
- Testing: PHPUnit
Skills
Backend Engineering
Cloud & Infrastructure
Databases & Caching
Platform, Reliability & Observability
Architecture & Integration
Tools
Projects
Side projects and tools.
(RUST) Documentation Embedding
- Rust CLI for document embedding and Qdrant-based semantic search, demonstrating vector search, CLI tooling, and AI infrastructure experimentation.
(Python3) ChatGPT Token Usage Calculator
- Python utility for estimating prompt token usage before API calls, supporting cost-aware LLM workflow design.
(Docker) Dockerize Templates
- Reusable Docker templates for common backend stacks, standardizing local development setup and reducing project bootstrap effort.
Certifications
Validates core AWS architecture skills across networking, compute, storage, security, and reliability best practices.
OSS Contributions
Open source contributions.
actix/examples
- Community examples showing Actix ecosystem usage.
openai-cookbook
- Examples and guides for using the OpenAI API.
design-patterns-for-humans-zh-TW
- Traditional Chinese translation of design patterns.