Building trustworthy AI systems for real-world operations.

Network Engineer at LG CNS America working on financial infrastructure, cybersecurity, enterprise networking, and automation.

My research background is in Trustworthy AI, Differential Privacy, and Reproducibility. Today, I'm particularly interested in production-grade AI agents that can safely interact with infrastructure, cloud systems, APIs, and operational workflows.

• AI Agent Systems
• Trustworthy AI
• Infrastructure Automation
• Security Operations
• Network Engineering
• Human-AI Collaboration

AI-powered personal operating system focused on long-term context, memory, planning, and decision support.

Repository: https://github.com/wonkwonlee/gotsaeng-os

Exploring:

• Agent memory systems
• MCP-based architectures
• Multi-agent coordination
• Infrastructure automation
• Observability and verification
• Reliable AI operations

• VLDB 2023 Evaluation & Benchmark Track Runner-Up
• ACM SIGMOD Research Highlight 2024

Open-source framework:

SynRD https://github.com/DataResponsibly/SynRD

Infrastructure: Cisco • MPLS • BGP • VPN • Firepower • FMC • AWS

Development: Python • TypeScript • Docker • Kubernetes • REST APIs

AI: LLMs • Agent Systems • Differential Privacy • Machine Learning

LinkedIn: https://www.linkedin.com/in/wonkwon-lee

Google Scholar: https://scholar.google.com/citations?user=xXZLYFwAAAAJ

Website: https://wonkwonlee.github.io