/ ¥504,000 CEO R&D / IT Consulting Senior researcher

for recorded online lectures preparing candidates for the Big Data Analyst Certification. Project Consulting in Software and AI Audience: Graduate researchers (Master’s/PhD thesis and academic projects), enterprises (LLM, LAG, VisionAI-related projects), and job seekers (portfolio development). Focus Areas: Web platforms, AI (LLM, Vision AI, VLM), IRB-related projects. Clients: Individual researchers and enterprises (confidential). Company Employment period Role Teaching & Consulting Experience - Delivered professional training in AI/LLM (ChatGPT, LLaMA, LangChain, LangGraph, RAG, PromptEngineering, Vision AI with OpenCV). - Instructed on Web Development with Django/DRF, SQL (PostgreSQL, SQLite), Cloud deployment (AWS,Azure, Docker, Nginx), and Frontend (JavaScript/TypeScript, React, Vue). - Provided Data Analysis courses using Kaggle, NumPy, Pandas, Matplotlib, and scikit-learn (preprocessing, regression, clustering, classification, prediction). - Taught Software Documentation & Project Management (SAS, SDS, Test Plans, WBS, ISO 21500). - Delivered Certification Training (Information Processing Engineer, SQLD, Computer Utilization). - Offered technical consulting for AI, Data Analysis, Medical Software, and project management using JIRA/Git. Company Employment period Role Ultrasound Medical Device R&D (QT / C++ / IGSTK / ITK / VTK / CMake) - Designed and implemented UI/UX using QT (C++). - Controlled hardware for transducer ultrasound intensity targeting the cerebral cortex. - Developed finite element analysis (FEA) in Python3.10 to calculate target location and transmitted energy. - Conducted safety verification (thermal, toxicological, and physical properties) in compliance with ISO 13485 / ISO 14971, supporting FDA approval and project management (collaborative research with KIST). Company Employment period Role

Senior researcher Medical AI Development /

PACS Integration

Hospital Medical AI / Integration with PACS AI Modeling and Project Management for Dermatological and Urological Disease Classification - Developed classification and recognition AI models using PyTorch, CUDA, Torchvision preprocessing, and DICOM medical imaging data; utilized Slurm for distributed training on GCP IaaS with SQLite integration. - Served as Project Manager (PM) overseeing data pipeline, model training, and validation processes. Configured HIS, ACU, and APU systems and integrated PACS at Korea University Ansan and Anam Hospitals. - Implemented backend services using Spring Boot, PostgreSQL, Java, Python 3.10, and TCP/IP for seamless medical data communication. Company Employment period Role

SW Web Full-Stack /

- Directed the development of a secure enterprise streaming platform. - Oversaw implementation with WPF, VLC, TCP/IP, and MySQL for real-time media delivery. Company Employment period Role

Development Certificate Acquisition date Military Honorable Engineer Information Processing 12.2020 Service Discharge Engineer Information Communication 08.2020 Linux Master 2nd Grade 04.2019 Military Army/Artillery(FDC) Graphic Technology Qualification 1nd Grade 06.2018 branch Computer literacy 2nd Grade 11.2016 Research experience Institution Study period Research subject