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jason8745/README.md

Typing SVG

AI Engineer | Data Scientist | Backend Engineer

LinkedIn Resume Blog
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πŸ”₯ About Me

class BackendEngineer:
    def __init__(self):
        self.name = "Yu-Jun Wen (Wen)"
        self.role = "Senior Backend Engineer @ Trend Micro"
        self.location = "Taiwan πŸ‡ΉπŸ‡Ό"
        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 [
            "🎯 Reduced 5-7 person workload to 1 person through automation",
            "πŸ—οΈ Built 4 microservices from 0β†’1 independently",
            "πŸ“ Authored 96 technical articles with 79K+ views",
            "πŸ€– Specialized in LLM integration & backend infrastructure"
        ]

me = BackendEngineer()

πŸ’Ό Professional Experience

🏒 Trend Micro | Senior Backend Engineer

Feb 2025 – Present

  • 🎯 Impact: Automated analysis platform reduced operational team from 5-7 people β†’ 1 person
  • πŸ—οΈ Built: 4 microservices from scratch (Go, Python, FastAPI, Azure OpenAI)
  • ☁️ Deployed: Multi-region infrastructure using Terraform, Helm, and GitHub Actions CI/CD
  • πŸ‘₯ Mentored: 1 junior engineer on service design and deployment

πŸ” Trend Micro | Backend Engineer

Oct 2022 – Feb 2025

  • πŸ“Š Analyzed 4B emails/day for threat intelligence and attack pattern detection
  • πŸ”§ Built ETL pipelines using PySpark to process large-scale email data stored in S3 (Parquet format)
  • πŸ“ˆ Utilized AWS Athena for querying and analyzing threat data
  • 🀝 Collaborated with security researchers and global support teams

πŸ€– WNC CIM Team | AI Engineer

Aug 2020 – Sep 2022

  • 🏭 Built factory AI audio anomaly detection system (0β†’1)
  • πŸ“‘ Deployed K3s cluster with Jetson Nano edge devices
  • πŸ“ˆ Implemented AutoEncoder-based unsupervised learning model

🌟 Fun Facts

  • πŸ’‘ I've transformed a 5-7 person manual process into a fully automated system
  • πŸ“ Passionate about technical writing with 79K+ readers
  • 🏭 Built AI systems for real factory production lines
  • 🌱 Always learning new technologies and sharing knowledge

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  1. llm-stock-analyzer llm-stock-analyzer Public

    FastAPI service for LLM-powered stock analysis using technical indicators, LangChain, and YFinance β€” with optional Shioaji (永豐��) integration.

    Python 55 12

  2. llm-stock-team-analyzer llm-stock-team-analyzer Public

    Multi-agent stock analysis framework using LangGraph β€” specialized agents for technical analysis, news sentiment, and synthesized investment recommendations.

    Python 32 14

  3. llm-agent-trader llm-agent-trader Public

    AI-powered stock trading backtesting system with LLM-based decision analysis, FastAPI backend, and Next.js frontend.

    Python 375 88

  4. llm-stock-trader-trainer llm-stock-trader-trainer Public

    Taiwan stock market trading simulator β€” replay historical prices day by day with real news integration to practice trading decisions.

    Python 22 8

  5. llm-kaggle-agent llm-kaggle-agent Public

    LLM agent that analyzes top Kaggle competition solutions and accumulates ML expert knowledge over time.

    Python 4

  6. self-escalate-agent self-escalate-agent Public

    A minimal CLI agent that auto-escalates to GitHub Issues when it cannot confidently complete a task.

    Python 1