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jeonghanlee/README.md

Hello, there!

Experimental Physicist and System Architect with over 20 years of international experience in the design, high-availability operation, and strategic governance of large-scale scientific facilities. My professional identity is defined by a career-long pursuit of "Signal Sincerity"—ensuring an absolute correspondence between digital telemetry and the physical reality of the field.

I possess a proven track record of bridging administrative oversight with technical execution. Having successfully led multi-disciplinary teams through complex project phases—including the management of large-scale Work Breakdown Structures (WBS) and multi-million-dollar budgets—I have consistently maintained a deep, hands-on involvement in the technical baseline.

Currently, I am focused on architecting an AI-native operational ecosystem designed to eliminate institutional technical debt. My work involves defining the strategic roadmap for next-generation accelerator controls, integrating high-fidelity Digital Twins with advanced Early Detection frameworks. By utilizing experimental physics analysis tools such as ROOT alongside modern protocols like the Model Context Protocol (MCP), I am pioneering high-velocity, AI-assisted development workflows that ensure long-term facility sustainability.

I am dedicated to building resilient, data-driven infrastructures where every component—from physical rack configurations and network topologies to real-time software signals—is synchronized within a unified, transparent architecture. My goal is to lead large-scale facilities into an agile future, where technical integrity and technological innovation drive scientific excellence.

*Core Expertise:

  • Strategic Governance: Project Planning (WBS), Resource Optimization, Staff Development.
  • System Architecture: Distributed Control Systems (EPICS), High-Fidelity Digital Twins.
  • Technical Integrity: Signal Sincerity, Quality Assurance (NCR), Asset Management (AMS).
  • Future Innovation: AI-Assisted Engineering, Early Detection Frameworks, ROOT-based Data Analysis.
  • Infrastructure Lifecycle: Hardware-Software Synchronization, Network Topology Optimization.

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  1. kakaotalk-env kakaotalk-env Public

    KakaoTalk Environment on Debian Linux (카카오톡 데비안 리눅스 환경)

    Shell 94 8

  2. EPICS-env EPICS-env Public

    EPICS Configuration Environment

    Shell 6 4

  3. EPICS-env-distribution EPICS-env-distribution Public

    EPICS Environment - Pre-built Binary Distribution

    C 4

  4. epicsarchiverap-env epicsarchiverap-env Public

    EPICS Archiver Appliance Configuration Environment

    Shell 10 17

  5. epics-trainings epics-trainings Public

    EPICS Environment Training

    2 1

  6. epics-ioc-runner epics-ioc-runner Public

    EPICS CLI IOC Manager

    Shell 4 1