- 経済技術工業大学 オートメーション専攻
- 現地オートメーション企業にて、ロボットエンジニアのインターンとして約半年間勤務経験を有する。生産ラインの構築や自動化に従事。
- 外資系電子機器受託製造企業にて、AI R&Dエンジニアとして2年以上勤務経験を有する。工場向けの監視システムやAI仮想アシスタントの開発を主導。
- 現地IT企業グループにて、AIエンジニアとして1年以上勤務経験を有する。スマート監視システムや遠隔製造管理ソリューションの開発を担当。
- 3年半以上のAIエンジニア経験を有し、コンピュータビジョンやEdge AIデバイスへのモデル実装、LLM/NLPの統合において深い知見を有する。
- University of Economics - Technology for Industries, Automation major.
- Possesses approximately 6 months of experience as a Robot Engineer Intern at a local automation company, engaged in production line construction and automation.
- Possesses over 2 years of experience as an AI R&D Engineer at a foreign electronic manufacturing services (EMS) company, leading the development of smart surveillance systems and AI virtual assistants for factories.
- Possesses over 1 year of experience as an AI Engineer at a local IT group, responsible for the development of smart surveillance systems and remote manufacturing management solutions.
- Has over 3.5 years of experience as an AI Engineer, with deep expertise in Computer Vision, model implementation on Edge AI devices, and integration of LLM/NLP.
- skills:
- Languages: Python (Advanced - multi-threading for Camera), C++ (Intermediate - Inference optimization), C#, Bash Script
- Deep Learning Frameworks: PyTorch (Core), TensorFlow, ONNX, TensorRT, OpenVINO (Advanced performance optimization)
- Computer Vision: OpenCV, YOLO, RT-DETR, SAM (Segmentation), MediaPipe, ByteTrack, BoT-SORT, Face Recognition (ArcFace, InsightFace), Pose Estimation, PaddleOCR, Tesseract
- Edge AI & Model Optimization: Qualcomm AIBOX 6490 (SNPE), Jetson Series, Raspberry Pi 4/5, Quantization (INT8, FP16), Pruning, Knowledge Distillation
- NLP & Generative AI: LangChain, RAG, Prompt Engineering, Ollama, vLLM, Fine-tuning (LoRA, QLoRA)
- Tools/Others: Docker, Docker-Compose, Linux (Ubuntu), Azure IoT Edge, Azure Machine Learning, FastAPI, Flask, Streamlit, Git (GitHub)