CV

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Experience

  • Memory MTC AX/PI Team, Samsung ElectronicsMar 2023 – Present
    Staff Engineer — Production AI & ML Systems
    FocusSemiconductor AI · Production ML Systems · LLM Agents · Engineering Software
    • Own end-to-end delivery of production ML systems for advanced memory semiconductor engineering — from problem scoping with engineers through modeling, validation, release, and post-release monitoring.
    • Work embedded with process and equipment engineering teams across technology development and mass production as a forward-deployed AI/ML partner, turning ambiguous engineering questions into deployable model-based tools and iterating on user feedback.
    • Build predictive and optimization models that hold up under real manufacturing conditions — tool-to-tool variation, drift, measurement noise, and scarce experimental data.
    • Serve self-hosted LLMs on in-house GPU supercomputing infrastructure, keeping engineering data inside controlled environments, and contribute to the team's agent-based AI for process development — LLM agents for engineering knowledge retrieval and multi-step investigations (RAG, tool calling, Model Context Protocol, multi-agent orchestration with long-term memory), traced and evaluated in production.
    • Establish evaluation practice for engineering ML — held-out test sets, cross-condition comparisons, worst-case analysis, and SHAP-based interpretability — and communicate model behavior and limits to engineers through validation reports.
    • Integrate heterogeneous manufacturing data into reusable, quality-checked ML-ready datasets, and build and operate production Python pipelines (SQL/NoSQL, Apache Airflow, HPC/GPU training, MLflow).
  • Flight Dynamics and Control Lab, Seoul National UniversitySep 2014 – Feb 2023
    Graduate Student Researcher — Aerospace GNC & Autonomous Systems
    FocusAerospace GNC · UAV Guidance & Control · Optimization
    • Conducted doctoral research in guidance, navigation, and control for UAVs and aerospace systems, with emphasis on morphing-aircraft modeling, nonlinear and LPV control, and optimization.
    • Developed and validated algorithms for autonomous carrier landing, lunar-orbiter attitude control, target tracking, and indoor search-and-rescue path planning.
    • Applied MATLAB/Simulink, Python, C/C++, numerical optimization, machine learning, and high-fidelity simulation to research prototypes and source-code deliverables.
    • Contributed to funded research programs with government and industry partners, including ADD, MOTIE, KFI, and LIG Nex1; results were disseminated through journal and conference publications.

Education

  • Seoul National University — Ph.D., Aerospace Engineering (MS-PhD Integrated Course) — Sep 2014 – Feb 2023Department of Mechanical and Aerospace Engineering, College of Engineering. Flight Dynamics and Control Lab (Advisor: Prof. Youdan Kim). Dissertation: "Self-Scheduled Parameter-Varying Control of Asymmetric Variable-Span Morphing Unmanned Aerial Vehicle"
  • Yonsei University
    • B.S., Mechanical Engineering (Advisor: Prof. Woongsup Yoon) — Feb 2010 – Aug 2014Thesis: "Modeling and PIDE Control Simulation of a Quadrotor" (Advisor: Prof. Jongsoo Lee)
    • B.S., Astronomy (Double Major Program) — Mar 2013 – Aug 2014

Awards

  • Grand Prize (Transport Minister's Award)
    3rd Aviation-Specialized University Conference, Mayfield Hotel, Seoul, Republic of Korea (Feb 2016) — for "Risk Evaluation Scheme in Automatic Aircraft Carrier Landing Using Artificial Neural Network"

Skills

LLM Systems & AgentsSelf-Hosted LLM Serving (vLLM) on GPU Supercomputing, LLM Gateway & Routing (LiteLLM), Multi-Agent Orchestration & Agent Memory, Retrieval-Augmented Generation, Tool Calling / Model Context Protocol (MCP), LLM Tracing & Evaluation (Langfuse), Human-in-the-Loop Decision Support, AI Coding Agents (Claude Code, OpenCode)
Production ML & MLOpsPyTorch, scikit-learn, Predictive Modeling & Uncertainty Quantification, Model Validation, Drift & Monitoring, Training → Release → Retraining Pipelines, MLflow, Docker, HPC / GPU Clusters, TensorFlow
Data EngineeringPostgreSQL / MySQL, ClickHouse, MongoDB / Neo4j, Apache Airflow, Feature Engineering, Data Integration & Cleansing
ProgrammingPython, SQL, C / C++, MATLAB / Simulink, TypeScript / JavaScript, Linux / Shell
DomainsSemiconductor Manufacturing (Memory), Machine Learning, Control, Optimization, Modeling & Simulation, Motion Planning, Filtering, Statistical Modeling & Time-Series Analysis
Web & Product EngineeringReact / Next.js, React Native (Expo), Node.js, Supabase / PostgreSQL, Playwright / Vitest
LanguagesEnglish (Advanced), Korean (Native)
MethodsGuidance, Navigation & Control (GNC), Sliding Mode Control, LPV / Gain-Scheduling Control, Nonlinear Dynamic Inversion, Model Predictive Control, Reinforcement Learning, Neural Networks / Deep Learning, Gaussian Processes, Mixed-Integer Linear Programming, Path Planning, Sensor Fusion & Target Tracking, Control Allocation, Adaptive Dynamic Programming, Disturbance & Extended State Observers

Projects

Frequent Collaborators

Co-authors on 4+ publications together, out of 43 total.

  • Youdan Kim
    Seoul National University · 41 co-authored papers
  • Seong-hun Kim
    Samsung Electronics · 20 co-authored papers
  • Hanna Lee
    Samsung Electronics · 18 co-authored papers
  • Seungyun Jung
    Samsung Electronics · 17 co-authored papers
  • Seungkeun Kim
    Professor, Aerospace Engineering, Chungnam National University · 8 co-authored papers
  • Suwon Lee
    Assistant Professor, Future Mobility, Kookmin University (formerly Samsung Electronics) · 7 co-authored papers
  • Somang Lee
    Korea Aerospace Research Institute (KARI) · 6 co-authored papers
  • Jinyoung Suk
    Professor, Aerospace Engineering, Chungnam National University; CEO, DBRAIN · 6 co-authored papers
  • Seokwon Lee
    Assistant Professor, Mechanical Engineering, Chung-Ang University · 5 co-authored papers
  • Hyeonggwan Kang
    4 co-authored papers