Software engineer · Taipei, Taiwan

Peter Lee.

My work includes data pipelines, cloud infrastructure, and backend development. I work with AWS, GCP, and on-premises systems, from deployment and monitoring to performance and reliability.

Resume

Work experience

Trend Micro

Sr. Software Engineer

2026 July

Taipei, Taiwan

TrendAI - CISO Office - Global engineering service

Kokomonster (TIOM AI)

Senior Backend Engineer & DevOps Engineer

2023 May – 2026 Jan

Taipei, Taiwan

KokoMonster

Built an AI-powered chat platform supporting mission dialogues, speech recognition, TTS/STT, and multi-model workflows.
Architected and optimized GCP backend services, improving reliability and reducing operational complexity across microservices.
Designed GitHub CI/CD pipelines for automated build, testing, and deployment across multiple environments.
Implemented RAG pipelines for knowledge retrieval, context-aware responses, document ingestion, embedding generation, and content processing.
Mentored and collaborated with team members to resolve technical challenges, including CVE remediation, CORS configuration, and system design.
Developed Ethereum smart contracts for custom ERC-20/ERC-721 tokens and transparent NFT holder revenue sharing.

Snapask

Data Engineer & DevOps Engineer

2021 Dec – 2023 March

Taipei, Taiwan

Designed AWS data infrastructure that reduced cost by 2x and improved query speed by 3x across EKS, MWAA, EMR, EC2, and RDS.
Migrated Airflow 1.x to Airflow 2.0 with AWS MWAA and optimized cloud resource allocation.
Designed a log service for collecting custom log events, improving data collection reliability and reducing reliance on third-party analytics platforms.
Maintained Terraform modules for AWS infrastructure as code, including EC2 and EKS resource provisioning.
Synchronized Kubernetes jobs between Flux CD and GitHub to reduce manual errors and keep cluster workloads up to date.

Vpon Taiwan

Senior Data Engineer at Data Team

2018 Oct – 2021 July

Taipei, Taiwan

Vpon

Built data infrastructure and pipelines for data collection, exchange, tagging, ETL, and real-time validation.
Designed a Data SDK collection backend that reduced data update time from one day to one hour and lowered ETL machine cost by 40%.
Introduced Kubernetes-based deployment and monitoring, reducing infrastructure cost by 75% and saving 20 hours of manual work.
Migrated ETL workloads from VM/EMR environments to Apache Airflow and Kubernetes CronJobs for more flexible, cost-effective operations.
Migrated projects and ETL pipelines from AWS to GCP, including Hive/S3 data transfer, GitLab setup, and new migration pipelines.

PDIS (Public Digital Innovation Space)

Software Engineer in (Alternative Military Service)

2017 Sep – 2018 Aug

Executive Yuan 行政院, Taipei, Taiwan

PDIS

Built LINE Bot integrations that connected internal systems and helped colleagues save time on routine workflows.
Designed API interfaces for meeting reservation and electronic bulletin board systems to integrate with the bot platform.
Built a real-time subtitle display system for livestreams, moving from idea to working prototype in one week.
Contributed fixes and features to open-source projects including Sandstorm, Rocket.Chat, and TensorFlow.