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adorahelen/README.md

πŸ›‘οΈ Security-Focused Software Engineer

πŸ‘¨β€πŸ’» About Me

I am a Security Software Engineer specializing in bridging the gap between Security Research and System Implementation. I have hands-on experience in building AI-based detection engines and scalable security monitoring systems.

  • πŸ” Main Focus: Privacy Protection (PII Detection), Log Analysis (ELK), and Endpoint Security.
  • πŸš€ Goal: Building robust security solutions that handle real-world threat data at scale.

πŸ› οΈ Tech Stack

πŸ›‘οΈ Security & Infrastructure

Elasticsearch Logstash Kibana Docker AWS

βš™οΈ Backend & Systems

Java Spring Boot Python FastAPI

🧠 AI & Data Intelligence

NLP NER LLM

πŸ—„οΈ Database

PostgreSQL


πŸ’» Featured Projects

πŸ” AI-Based PII Detection Engine R&D

Developing a full-stack engine for detecting personally identifiable information (PII).

  • Built multi-channel pipelines for Local Files, DB, and Network Packets.
  • Implemented NER-based NLP models to optimize detection accuracy.
  • Designed REST APIs for seamless integration with enterprise systems.
  • Key Takeaway: Handled real-world privacy data pipelines and optimized detection performance.

πŸ” LLM Prompt & Response De-identification System

Real-time PII filtering layer for LLM services.

  • Designed a pre/post-processing privacy filter for LLM prompts and outputs.
  • Applied NER + rule-based hybrid detection for sensitive data.
  • Implemented WebSocket-based streaming interception.
  • Key Takeaway: Ensured privacy compliance in AI-driven services.

πŸ“Š ELK-Based Security Log Analysis System

End-to-end security monitoring and visualization pipeline.

  • Built Logstash pipelines to ingest raw security logs.
  • Designed custom Elasticsearch indices for anomaly and attack pattern detection.
  • Developed Kibana dashboards for real-time incident response.

πŸ•·οΈ Security-Oriented Web Crawler

Automated reconnaissance and threat detection tool.

  • Scans robots.txt and sitemap.xml to map attack surfaces.
  • Detects malicious JavaScript keywords to identify client-side threats.

🧠 Password Intelligence Research

Research on password generation and pattern learning for Korean users.

  • Fine-tuned models using RockYou + Korean password datasets.
  • Analyzed keyboard-based input patterns over linguistic assumptions.
  • Evaluated limitations of PCFG-based approaches.
  • Key Takeaway: Conducted data-driven security research beyond conventional heuristics.

πŸ”¬ Security Research Interests

  • EDR & Endpoint Security
    • User-mode process behavior monitoring
    • PID ↔ Network connection correlation
  • Malware Analysis
    • PE file structure, import table, execution flow
  • Detection Engines
    • Antivirus plugin-based engine architecture
    • Kernel ↔ User-mode interface design
  • Privacy Engineering
    • PII detection & masking pipelines
    • AI-assisted data protection systems

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