PROFILE

정진우 프로필 사진

정진우 | JEONG JINWOO

1995. 03. 27

jinwoo327@gmail.com

Github

010-3277-6270

EDUCATION

2023.03 ~ 2025.02
Chung-Ang University
Graduate School of Advanced Imaging Science, Multimedia & Film
Major: Image Engineering: AI Imaging
2015.03 ~ 2023.02
Kyonggi University
Major: Industrial Management Engineering
2011.03 ~ 2014.02
Songlim High School

ABOUT

I am an AI engineer specializing in data collection and preprocessing, with expertise in handling sensor data, web crawling, and log analysis.

At graduate school, I focus on motion recognition and 3D pose estimation using IMU and LiDAR sensors, integrating with Unity3D for visualization. I have experience in modifying deep learning models for virtual motion generation and presenting research at international conferences.

My personal projects include developing data crawling systems for exhibition management and creating automated systems for collecting and analyzing game and music chart data for SNS posting.

SKILLS

Programming & Scripting

  • Python, C#, C++, Shell Script, Bash

AI & Deep Learning

  • PyTorch, TensorFlow, Motion Generation, LLM

Data Handling & Crawling

  • Pandas, Numpy, Matplotlib, BeautifulSoup, Selenium

Dev Tools & Infra

  • Git, GitHub, Docker, Conda, uv, Ubuntu, NAS

Graphics & Documentation

  • Unity3D, Blender, AdobeCC, Google Sheets, Notion, MS Office

CERTIFICATION

ADsP (Advanced Data Analytics Semi-Professional)
2021.09.24
TOEIC Speaking
Intermediate High
2025.01.23

PROJECTS

Graduate School Projects

Model Retraining for Avatar Motion Generation with Modified Training Dataset

  • Retrained existing deep learning motion generation model (ACTOR) with specific motion data
  • Modified joint values and position data of 3D motion data to generate new sequences
  • Demonstrated visualization by applying retrained motions to actual avatars in Unity3D-based virtual environment
  • Key tasks: Created batch conversion scripts for over 10,000 motion data, Retrained deep learning model

Keyword: PyTorch, Motion Generation, Unity3D, Dataset Adaptation, SMPL-X, 3D Pose

Development of Motion Similarity-based Classification and Visualization Tool

  • Generated motion vector embeddings using the encoder from pre-trained text-motion model (TMR)
  • Conducted motion similarity comparison based on generated vector embeddings
  • Reduced qualitative review time required for motion visualization
  • Key tasks: Created new data loader, Implemented parallel processing for vector embedding comparison, Generated similarity tables

Keyword: PyTorch, Motion Similarity, Vector Embedding, Automation, Visualization

3D Motion Visualization with Sensor Data Integration in Unity3D Avatar

  • Built 3D avatar environment using SMPL-X avatar model in Unity3D
  • Implemented real-time IMU sensor data reception and application to avatar joint rotations
  • Developed custom scripts for sensor calibration, body pose interpretation, and avatar synchronization
  • Key tasks: Sensor rotation data conversion, Joint rotation application to avatar, Unity3D-sensor coordinate system alignment

Keyword: Unity3D, C#, SMPL-X, IMU, Pose Estimation, Real-Time Motion Capture


Personal Projects

Comic Event Booth Information Crawling and Visualization System

  • Web crawled comic exhibition booth information and visualized it in Google Sheets
  • Supported operations team's booth placement decisions through automatic updates, booth tag filtering, and key booth visualization
  • Developed an associated project to check booth users' SNS influence
  • Key tasks: Web page information crawling using bs4, Booth information tabulation and spreadsheet sharing, Automation of crawling and sheet updates on server

Keyword: Python, Web Crawling, BeautifulSoup, Pandas, Google Sheets API, Data Visualization

Event Booth Participant Account Information Collection System

  • Automated collection and organization of booth applicant account information in Google Sheets
  • Gathered and organized names, Twitter accounts, and top post information
  • Visualized key tag statistics and popular booth trends for pre-event planning
  • Key tasks: Spreadsheet preprocessing, CSS selector configuration, User information acquisition

Keyword: Python, Web Crawling, Bot, Selenium

Music Chart Data Collection and Twitter Auto-Posting System

  • Organized real-time music chart data into specified formats through crawling
  • Implemented bot using Twitter API for automated data posting
  • Automated daily/weekly chart updates for maintenance-free operation
  • Included statistics and ranking changes to support fandom activities during events
  • Key tasks: Data collection and CSV organization, API key management, Automated post content generation

Keyword: Python, Web Crawling, BeautifulSoup, Tweepy, Twitter API, Ubuntu

ETC

  • Organized and distributed booth list for Seoul Cafe Show 2022 using Python web crawling (BeautifulSoup4)
  • Created factory simulation using LEGO models, wrote Python scripts to operate 'Mindstorm EV3' device control kit
  • Developed crawler to collect and organize PvP event rankings from the game 'Final Fantasy XIV' into CSV format

FULL-TIME

Graduate Research Assistant
Chung-Ang University – VELAB (Visual Environment Lab), Seoul, Korea
Feb 2023 – Dec 2024

• Participated in a national R&D project funded by the Ministry of Science and ICT:

"Proxemics-based Pervasive Interactions for Wide-area, High-speed, Serial Motion Recognition"

(Software Star-Lab, Fundamental SW Computing Technology Development Program)

Publications

International

Plausible and Effective Gesture-based Interactions for the Virtual Runway
(ICDDS 2024.12)
From Ground to Sky: Flying-motion Generation via Motion Dataset Adaptation
(ACM - VRST 2024.10)

Domestic

비행 동작 데이터셋을 강화하기 위한 모션 생성 네트워크와 목표 시퀀스 궤적의 통합
Integrating Motion Generation Networks with Target Sequence Trajectories to Enrich the Flying Motion Dataset
(Korea Software Congress, 2024.12)
시각장애인의 키오스크 상호작용을 위한 효율적인 동작 인식 방법
Efficient Gesture Recognition Method on Kiosk Interactions for the Visually Impaired
(Korea Software Congress, 2023.12)
가상 지휘자의 애니메이션을 위한 실감나는 손동작 저작
The Realistic Hand Gesture Authoring for a Virtual Conductor Animation
(Korea Software Congress, 2023.12, Co-author)

PART-TIME

Event Operations Manager
Dongin Network, Seoul, Korea
Jul 2016 – Jan 2025
  • Coordinated large-scale subculture conventions with over 5,000 visitors, held at major venues including COEX and BEXCO.
  • Led staff scheduling and booth layout planning, optimizing visitor flow and reducing crowd congestion.
  • Developed and maintained internal Google Sheets-based visualization systems to forecast high-traffic booths and preemptively adjust floor plans.
  • Served as on-site manager, liaising between exhibitors and event organizers, and resolving unexpected disruptions in real time.
Teaching Assistant & EdTech Operator
ISEnglish Academy, Seongnam, Korea
Mar 2015 – Jul 2018; Sep 2019 – Jul 2022
  • Assisted students with vocabulary and homework review, and supported teachers during mock exams and grading.
  • Took initiative during COVID-19 to build and operate a remote teaching environment using OBS Studio, Zoom, and a custom WordPress homepage.
  • Designed and maintained a remote class archive and video distribution system, enabling hybrid access for both enrolled and external students.
  • Streamlined video workflows and resolved technical issues involving streaming setup, camera configuration, and online attendance tracking.
Production & Operations Manager
Dongne Gongjakso (Acrylic Goods Studio), Seoul, Korea
Oct 2016 – Sep 2017
  • Managed the entire production workflow of custom acrylic merchandise, including order intake, design verification, laser cutting, post-processing, and shipping.
  • Automated parts of the order entry and production prep process using Excel-based scripting, reducing manual overhead and improving order accuracy.
  • Handled seasonal volume surges (up to 4–5x normal) by coordinating external print vendors and reallocating production strategy to meet deadlines.
  • Developed a hybrid fulfillment strategy by offering on-site event pickup options to reduce delivery bottlenecks.