class BackendEngineer:
def __init__(self):
self.name = "Yu-Jun Wen (Wen)"
self.role = "Senior Backend Engineer @ Trend Micro"
self.location = "Taiwan πΉπΌ"
self.blog = "96 articles | 79K+ page views"
def get_skills(self):
return {
"languages": ["Python", "Go", "SQL"],
"backend": ["FastAPI", "Gin", "OpenAPI"],
"ai_ml": ["LangChain", "LangGraph", "LangFuse", "PyTorch", "TensorFlow", "Keras"],
"cloud": ["AWS", "Kubernetes", "Docker", "Terraform", "Helm"],
"data": ["PySpark", "PostgreSQL", "InfluxDB"],
"devops": ["GitHub Actions", "Grafana", "Prometheus", "Loki"]
}
def get_highlights(self):
return [
"π― Reduced 5-7 person workload to 1 person through automation",
"ποΈ Built 4 microservices from 0β1 independently",
"π Authored 96 technical articles with 79K+ views",
"π€ Specialized in LLM integration & backend infrastructure"
]
me = BackendEngineer()Feb 2025 β Present
- π― Impact: Automated analysis platform reduced operational team from 5-7 people β 1 person
- ποΈ Built: 4 microservices from scratch (Go, Python, FastAPI, Azure OpenAI)
- βοΈ Deployed: Multi-region infrastructure using Terraform, Helm, and GitHub Actions CI/CD
- π₯ Mentored: 1 junior engineer on service design and deployment
Oct 2022 β Feb 2025
- π Analyzed 4B emails/day for threat intelligence and attack pattern detection
- π§ Built ETL pipelines using PySpark to process large-scale email data stored in S3 (Parquet format)
- π Utilized AWS Athena for querying and analyzing threat data
- π€ Collaborated with security researchers and global support teams
Aug 2020 β Sep 2022
- π Built factory AI audio anomaly detection system (0β1)
- π‘ Deployed K3s cluster with Jetson Nano edge devices
- π Implemented AutoEncoder-based unsupervised learning model
- π‘ I've transformed a 5-7 person manual process into a fully automated system
- π Passionate about technical writing with 79K+ readers
- π Built AI systems for real factory production lines
- π± Always learning new technologies and sharing knowledge