Kwang Myung YuAbout
KO

About

Building industrial AI, from control rooms to humanoid robots.

Started in power plant automation and model predictive control, then developed anomaly detection, forecasting, and computer vision models for energy and manufacturing. Led RAG, agent, and Text-to-SQL services for enterprise clients, and now leads GenON's Physical AI humanoid product, GenP, from product definition to VLA training pipelines.

  1. 2008 – 2015

    Control & Automation

    Designed automation for power and energy plants, then built model predictive control and PID tuning tools for power generation.

  2. 2015 – 2022

    Data Science & ML

    Applied ML to the power grid and factories, from solar power forecasting and transformer anomaly detection to a machine vision platform.

  3. 2023 – 2026

    Generative AI & Agents

    Led RAG, agent, and Text-to-SQL services for enterprises, alongside industrial ML for anomaly detection and process optimization.

  4. 2026 –

    Physical AI

    Leads a humanoid robot product that unifies voice conversation, VLA manipulation, autonomous navigation, and whole-body control in one workflow.

Projects
20
6 featured
Patents
15
7 registered · 8 filed
Software
10
8 registered · 2 pending
Books
2
Programming
Python for ML and services, C/C++ for control and embedded code, plus SQL and TypeScript.
AI/ML
LLM agents and RAG with LangChain/LangGraph, LiteLLM, OpenRouter, FastMCP, and Braintrust; anomaly detection, time-series forecasting, and computer vision with PyTorch and scikit-learn.
Robotics
Humanoid development on Unitree G1 and AgiBot X2 SDKs, VLA training, simulation in Isaac Lab and MuJoCo, and SLAM-based navigation.
Serving & Infrastructure
Model and LLM serving with FastAPI, vLLM, and Ollama on Docker and AWS, with MLflow, PostgreSQL, and vector databases (pgvector, Qdrant).
Domains
Energy and utilities (thermal power, renewables, ESS), petrochemical and steel processes, manufacturing, healthcare, and industrial automation (PLC, DCS).

Selected Work

6 / 20 projects
  1. · LOTTE Fine ChemicalMar 2024 – Jan 2025

    Green-Material Inventory Blend Optimization

    Ran a PoC that optimizes blend combinations of green-material inventory, as part of the AI master plan engagement.

    • Petrochemical & Steel
    • Control & Optimization

All Projects 20

  1. 2026 – 2027

    Docent Humanoid Robot for a Brand Experience Center Lead Selected

    GenON · Global F&B company

    RoboticsPhysical AI

  2. 2026 – Present

    GenP Physical AI Humanoid Product Lead Selected

    GenON

    RoboticsPhysical AI

  3. 2026

    Agentic RAG Search Service for National Legal Information

    Public & LegalLLM Agents & RAG

  4. 2025

    Conversational Service for Power Plant Maintenance History Lead

    PwC Consulting · Power generation company

    Energy & UtilitiesLLM Agents & RAG

  5. 2025

    SCM Data Analysis and Work Support Service Lead Selected

    PwC Consulting · Samsung Electronics

    ManufacturingLLM Agents & RAG

  6. 2024 – 2025

    Online Consultation and Product Recommendation Assistant Lead Selected

    PwC Consulting · Samsung Electronics

    ManufacturingLLM Agents & RAG

  7. 2024 – 2025

    AI Master Plan and LLM Service PoC Lead

    PwC Consulting · LOTTE Fine Chemical

    Petrochemical & SteelLLM Agents & RAG · Forecasting · Control & Optimization

  8. 2024 – 2025

    Green-Material Inventory Blend Optimization Selected

    PwC Consulting · LOTTE Fine Chemical

    Petrochemical & SteelControl & Optimization

  9. 2024

    Raw-Material Price Forecasting and Market Analysis Dashboard Lead Selected

    PwC Consulting · LOTTE Fine Chemical

    Petrochemical & SteelForecasting

  10. 2023 – 2024

    ML and Control Optimization for a Sinter Plant Lead

    MakinaRocks · Steel maker

    Petrochemical & SteelForecasting · Control & Optimization · MLOps

  11. 2023

    Q&A Chatbot for a Manufacturing Equipment Diagnosis System

    MakinaRocks

    ManufacturingLLM Agents & RAG

  12. 2023

    ML Models for Petrochemical Equipment Lifetime Prediction and Condition Diagnosis Lead

    MakinaRocks · Petrochemical company

    Petrochemical & SteelForecasting · MLOps

  13. 2022

    Lifestyle Guide Service Application Lead

    GIVita

    HealthcareForecasting

  14. 2021 – 2022

    Visual Inspection Automation Software and ML Platform Lead

    Samsung Electro-Mechanics

    ManufacturingComputer Vision · MLOps

  15. 2019 – 2020

    Anomaly Detection from Transformer Oil DGA Data Lead

    KEPCO

    Energy & UtilitiesAnomaly Detection

  16. 2019 – 2020

    Object Detection for Distribution Equipment Diagnosis Lead

    KEPCO

    Energy & UtilitiesComputer Vision

  17. 2018 – 2019

    Power Usage Pattern Analysis of EV Charging Stations in Jeju Lead

    KEPCO

    Energy & UtilitiesForecasting

  18. 2016 – 2019

    Solar Power Forecasting for Distribution Lines Lead

    KEPCO

    Energy & UtilitiesForecasting

  19. 2015 – 2018

    Commissioning and Performance Evaluation System for Frequency Regulation ESS

    KEPCO

    Energy & UtilitiesControl & Optimization

  20. 2013 – 2014

    Optimal Control for Power Plant Boiler Systems

    KEPCO

    Energy & UtilitiesControl & Optimization

Experience

6 organizations
  1. Jul 2026 – Present

    GenON, R&D Group

    Director / AI Product Engineer

    Lead the Physical AI humanoid product as Product Owner (PO), defining the product, technology tree, and commercialization roadmap, and manage client projects as Project Manager (PM). Design the integrated architecture for voice conversation, scenario execution, VLA, VLN, navigation, and motion, and build the robot control panel. Propose and run new Physical AI and agent-system projects and hire talent.

  2. Mar 2024 – Aug 2025

    PwC Consulting, Digital & AI

    Director / Senior ML Engineer

    Developed generative AI services (RAG and agents), ML-based equipment diagnostics, price and demand forecasting, and control optimization. Proposed new projects, ran AI training for firm-wide and division staff, and hired talent.

  3. Apr 2023 – Apr 2024

    MakinaRocks, AI Project Team

    Part Leader / Senior ML Engineer / PO

    Developed anomaly detection, control optimization, and guidance models as well as RAG-based services, and supported LLMOps and MLOps environment setup. Planned new projects, improved the traceability and reproducibility of project deliverables, researched ML technology trends, and hired talent.

  4. Mar 2021 – May 2022

    Samsung Electro-Mechanics, Equipment Technology Research Institute

    Principal Researcher

    Built a software platform for data-driven anomaly detection and predictive maintenance and for running deep learning models. Analyzed and visualized manufacturing equipment performance and logistics data, and taught data analysis to employees.

  5. Jul 2010 – Jun 2020

    KEPCO (Korea Electric Power Corporation), Data Science Lab

    Senior Data Scientist

    Researched anomaly detection algorithms, time-series forecasting, and deep learning, including sequence and generative models. Built the AI and data science roadmap, identified and planned new research projects, and planned research infrastructure and analytics environments.

  6. Jan 2008 – Jul 2010

    POSCO E&C, Energy Business Division

    Automation Design Engineer

    Designed electrical and automation systems for power and energy plants, designed and built data acquisition infrastructure, developed control algorithms, and supported commissioning.

Teaching · Books · Advisory

Books 2 · Teaching 6 · Advisory 2

Teaching6

  1. 2026

    Lectures on LLMs, agents, and Harness Engineering for undergraduate and master's researchers

    Engineering Education Center, Incheon National University

  2. 2025

    AI training curriculum for consultants (design and lectures)

    PwC Consulting

  3. 2023

    Software version control with Git and GitHub (parts 1 and 2)

    Koscom

  4. 2023

    Big data analyst training program

    SK planet Tacademy

  5. 2014 – 2023

    Hands-on course on control systems and data analysis

    Korea Measurement & Control Technology Education Center

  6. 2019 – 2020

    Data science lectures for new ICT employees

    KEPCO Human Resources Development Institute

Advisory2

  1. 2020 – 2026

    Visiting Researcher / Technical Advisor

    Department of Safety Engineering, Incheon National University

    • Advised on LLM application development, including RAG, vector databases, agent systems, and workflow design
    • Supported development of combustion-state diagnosis models from flame image sequences (ResNet, autoencoder, LSTM-CNN)
    • Developed industrial boiler anomaly detection models and built their deployment environment with scikit-learn, LightGBM, FastAPI, and AWS EC2
    • Supported development of an LSTM autoencoder anomaly detection model using dynamic pressure sensors on power plant combustors
  2. 2023, 2024

    Advisory Committee Member, Future Education

    Incheon National University

Awards & Education

Awards4

  1. 2025

    Best People Awards

    PwC Consulting

  2. 2020

    President's Award (Excellence Prize), Big Data & AI Competition

    Korea East-West Power (EWP)

  3. 2018

    Merit Award (R&D)

    KEPCO

  4. 2000, 2003 – 2006

    Honors graduate; academic excellence scholarship

    Pusan National University

Education2

  1. Mar 2006 – Feb 2008

    KAIST

    M.S. in Electrical Engineering

  2. Mar 1999 – Feb 2006

    Pusan National University

    B.S., School of Electrical Engineering

Personal Projects

github.com/sguys99

  1. AI Daybook

    Active

    Built a daily AI news edition that collects global and Korean news, open-source projects, models, and papers, then selects, summarizes, and ranks them with an LLM for under $0.10 per run.

    TypeScript / Next.js / SQLite / Claude API / GitHub Actions / GitHub Pages

  2. AI Wiki

    Active

    Designed a domain-agnostic template that turns papers, repos, articles, and videos into a searchable wiki with Claude Code or Codex, answering only from collected sources.

    Python / Claude Code / Codex / GitHub Actions / GitHub Pages

  3. Euro Digest

    Active

    Built a static site that publishes a daily Korean briefing of overnight European football, grouping international and Korean news by event and linking to the originals.

    TypeScript / Next.js / Claude API / Tailwind CSS / GitHub Actions / GitHub Pages

  4. LinkDigest

    Active

    Built a link curation service that summarizes saved articles and YouTube videos with LLMs and sends a weekly newsletter digest.

    TypeScript / Next.js / Supabase / Tailwind CSS / Resend

  5. LunchMate

    Active

    Built a web app that picks lunch near the office in seconds, recommending three nearby restaurants or letting coworkers decide by vote.

    TypeScript / Next.js / Supabase / Tailwind CSS

  6. MCP Connectors

    Active

    Built a monorepo for building, testing, and running MCP servers for internal systems, with spec-driven Claude Code skills, shared guardrails, and a local Inspector and LLM chat UI.

    Python / FastMCP / MCP / Next.js / TypeScript / Docker

  7. pyRoad

    Active

    Built an interactive Python learning platform for elementary school students with a quest-based curriculum, an AI animal tutor, and in-browser Python execution.

    TypeScript / Next.js / Supabase / Pyodide / Claude API

  8. OathKeeper

    In progress

    Built a LangGraph agent that parses B2B AI development deals, scores them on seven criteria for a Go/No-Go verdict, estimates resources and risks, and retrieves similar past projects.

    Python / FastAPI / LangGraph / LiteLLM / Pinecone / PostgreSQL / Next.js

  9. AI Research Curator

    In progress

    Built a research curation service that collects papers and news on a schedule, summarizes and ranks them in Korean with an LLM, and emails a daily digest.

    Python / FastAPI / PostgreSQL / Qdrant / LiteLLM / Next.js

  10. Learning Git & GitHub with Python Code

    Archived

    Published the example code and chapter-by-chapter Git practice repositories for the book "Learning Git & GitHub with Python Code" (Youngjin.com).

    Python / Git / GitHub

IP & Publications

47 records
Patents157 registered · 8 filed2013 – 2026
  1. 2026

    1. Method and system for automatically generating P&ID work reports and verifying them against the original drawings using a vision-language model시각언어모델을 이용한 P&ID 작업보고서 자동 작성 및 도면 원문 대조 검증 방법 및 시스템

      Filing in progress

  2. 2020

    1. Main steam temperature control apparatus and method주증기온도제어장치 및 주증기온도제어방법

      Registered

    2. Apparatus and method for diagnosing power equipment전력설비 진단 장치 및 방법

      Filed

  3. 2019

    1. Traffic analysis apparatus for network-based control systems and operating method thereof네트워크 기반 제어시스템용 트래픽 분석장치 및 이의 동작방법

      Registered

  4. 2018

    1. Control system for a hybrid energy storage system복합 에너지 저장장치 제어 시스템

      Filed

    2. Power plant simulator발전소 시뮬레이터

      Registered

  5. 2017

    1. Superheater temperature control method과열기 온도 제어 방법

      Registered

    2. Frequency control system주파수 제어시스템

      Filed

  6. 2015

    1. Steam turbine dynamics simulator, gas turbine dynamics simulator, and turbine generator control apparatus and method using the same증기터빈 동특성 시뮬레이터, 가스터빈 동특성 시뮬레이터, 그를 이용하는 터빈 발전기 제어장치 및 방법

      Filed

    2. Model-based predictive control apparatus and method모델 기반 예측 제어 장치 및 방법

      Filed

  7. 2014

    1. Operation control method for an oxy-fuel combustion boiler순산소 연소 보일러의 운전제어방법

      Registered

    2. Air supply apparatus and air supply method for combustion equipment연소설비의 공기공급장치 및 공기공급방법

      Registered

    3. Integrated control apparatus for a supercritical Brayton cycle with a variable heat source가변 열원을 적용한 초임계 브레이튼 사이클 통합 제어 장치

      Filed

    4. Interface apparatus for a process control system공정 제어 시스템의 인터페이스 장치

      Registered

  8. 2013

    1. Lubricant supply apparatus윤활유 공급 장치

      Filed

Software108 registered · 2 pending2014 – 2018
  1. Pending

    1. Automated data preprocessing program for training anomaly detection machine learning models (Python 3.6)이상탐지용 머신러닝 모델 학습을 위한 데이터 전처리 자동화 프로그램(Python 3.6)

      Pending

    2. Image data preprocessing program for equipment recognition (deep learning object detection) (Python 3.6)설비인식용(Deep learning object detection) 이미지 데이터 전처리 프로그램(Python 3.6)

      Pending

  2. 2018

    1. ESS control algorithm simulation program (MATLAB Simulink)ESS 제어알고리즘 시뮬레이션 프로그램(Matlab Simulink)

      Registered

    2. Simulator model for verifying gas turbine combined-cycle plant operation가스터빈 복합화력 운전 검증용 시뮬레이터 모델

      Registered

  3. 2015

    1. Dynamic matrix-based predictive controller and simulator (C, C++)동적행렬기반 예측제어기 및 시뮬레이터(C, C++)

      Registered

    2. Automatic PID controller tuning parameter calculation program for power generation control systems발전 제어시스템 PID 제어기 튜닝 파라미터 자동연산 프로그램

      Registered

    3. Frequency analysis program for proportional-integral-derivative control loops (MATLAB)비례, 적분, 미분 제어루프 주파수 분석 프로그램(Matlab)

      Registered

    4. Process identification program for proportional-integral-derivative controller design (MATLAB)비례, 적분, 미분 제어기 설계용 공정식별 프로그램(Matlab)

      Registered

  4. 2014

    1. Matrix computation program for multiple-input multiple-output (MIMO) control (C, C++)다중입출력(MIMO) 제어용 행렬연산 프로그램(C, C++)

      Registered

    2. PID controller tuning parameter calculation program (MATLAB GUI)PID 제어기 튜닝 파라미터 연산 프로그램(Matlab GUI)

      Registered

Papers3with DOI2015 – 2026
  1. 2026

    1. A Novel Diagnostic Method on the Industrial Boilers Using Machine Learning: t-SNE, Auto-Encoder and LGBM

      D. J. Jang, M. J. Jeon, K. M. Yu, and M. C. Lee

      Energies, vol. 19, no. 4, art. 874DOI 10.3390/en19040874

  2. 2018

    1. Lessons Learned from Energy Storage System Demonstrations for Primary Frequency Control

      K. Yu, I. Choi, and J. Woo

      KEPCO Journal on Electric Power and Energy, vol. 4, no. 2, pp. 107–114DOI 10.18770/KEPCO.2018.04.02.107

  3. 2015

    1. Development of a DMC Block for Use with an RCP System and its ApplicationRCP 시스템에서 사용 가능한 DMC(Dynamic Matrix Control) 블록의 개발과 응용

      Y.-S. Lee and K.-M. Yu

      Journal of Institute of Control, Robotics and Systems, vol. 21, no. 9, pp. 827–835DOI 10.5302/J.ICROS.2015.15.0086

Reports196 selected2016 – 2026
  1. 2026

    1. GenP commercialization roadmap: phase-by-phase product readiness and transition to an operations businessGenP 상용화 로드맵: Phase별 제품 준비와 운영 사업 전환 계획

      GenON

    2. Physical AI humanoid product (GenP) definition: common core and domain profiles SelectedPhysical AI 휴머노이드 제품(GenP) 정의서: 공통 코어와 도메인 프로파일

      GenON

    3. Market research on humanoid docent and promotional robots휴머노이드 도슨트/홍보 로봇 시장 조사

      GenON

    4. LLM application development with Claude CodeLLM 애플리케이션 개발(클로드코드 활용)
  2. 2025

    1. Core generative AI technologies and the ecosystem for building services Selected생성형 AI 핵심 기술 및 서비스 구축을 위한 생태계

      PwC Consulting

    2. AI project master plan and generative AI PoC case study for LOTTE Fine Chemical롯데정밀화학 AI 과제 MP 수립 및 Gen AI PoC 수행사례

      PwC Consulting

  3. 2023

    1. A survey of Transformer-based long-term time-series forecasting (LTSF) methods Selected트랜스포머를 활용한 LTSF(Long-term Timeseries Forecasting) 기법 조사

      MakinaRocks

  4. 2022

    1. Case study of a personalized diet management service using CGM data SelectedCGM 데이터를 활용한 개인화 식단관리 서비스 사례 연구

      GIVita

    2. Time-series analysis of CGM dataCGM 데이터를 활용한 시계열데이터 분석

      GIVita / Kyung Hee University Medical Center

    3. Designing a diet guidance service with lifelog data and machine learning라이프로그 데이터와 머신러닝을 활용한 식습관 가이드 서비스 설계

      GIVita

    4. Smartphone lifelog data analysis: when and how much do people walk?스마트폰 라이프로그(lifelog) 데이터 분석: 사람들은 언제, 얼마나 걸을까

      GIVita

  5. 2020

    1. Deep learning for anomaly detection: unsupervised approach Selected

      KEPCO Data Science Lab

  6. 2019

    1. Status of deep learning object detection model development for distribution equipment딥러닝 활용 배전설비 사물인식(Object detection) 모델 개발현황

      KEPCO Data Science Lab

    2. Correlation analysis of EV charging station data and distribution line load in Jeju제주지역 전기차충전소 데이터 및 선로부하 상관도 분석결과

      KEPCO Data Science Lab

    3. Progress report on a deep learning-based condition diagnosis model for substation transformers딥러닝 기반 변전용 변압기 상태진단 모델 개발 진행경과

      KEPCO Data Science Lab

  7. 2018

    1. Configuring a distributed operating environment for deep learning models with Docker and SparkDocker 및 Spark를 활용한 딥러닝 모델 분산운영환경 구성방안 연구

      KEPCO Research Institute (KEPRI)

    2. The need for frequency regulation ESS as renewable generation grows Selected신재생발전 증가에 따른 주파수제어용 ESS의 필요성

      Korean Institute of Electrical Engineers (KIEE), The Proceedings of the KIEE, vol. 67, no. 3

  8. 2017

    1. Data analysis report for substation ESS performance evaluation (Sokcho, Nongong, Ulsan, Gimje)변전용 ESS 성능평가를 위한 데이터분석 결과보고서(속초, 논공, 울산, 김제)

      KEPCO Research Institute (KEPRI)

  9. 2016

    1. Developing statistical machine learning models with scikit-learnScikit-learn을 활용한 통계기반 머신러닝 모델 개발방안

      KEPCO Research Institute (KEPRI)

Contact

Open to

  • Technical advisory on LLM applications, including RAG, vector databases, agent systems, and workflow design
  • AI lectures and corporate training for engineers, researchers, and consultants
  • Enterprise AI roadmaps and PoC planning
  • Architecture and PoC for LLM agent and RAG services
  • Physical AI and humanoid robot projects, from system architecture to VLA data and training pipelines

Reach me

Menu

Language
Theme