I am Yu Chen Kuo, an PhD student in Computer Science and Information Engineering at National Cheng Kung University (NCKU), specializing in artificial intelligence, deep learning, data mining, and feature engineering technologies.

---

Professional Experience

• Industrial Technology Research Institute (ITRI)
  • Autonomous Driving Systems: Developed an auto-labeling framework achieving 85% accuracy in diverse scenarios, including daytime and nighttime conditions.
  • Economic Data Modeling for LLM Training: Conducted in-depth analyses of global economic reports and various time-series data, integrating financial insights (e.g., Federal Reserve reports) into large language model training pipelines. These models extract critical patterns, interpret data implications, and generate actionable forecasting insights.

---

Research Focus

• Image Processing & Computer Vision: Developing algorithms that enhance medical image quality and interpretability, enabling more precise diagnostics.
• Deep Learning Model Development: Designing and optimizing architectures to improve accuracy and computational efficiency in medical imaging and speech analysis tasks.
• Speech Signal Feature Engineering: Extracting and engineering critical audio features to facilitate robust model training for classification and diagnostic applications.

---

Achievements and Certifications

• Completed machine learning and AI courses from top institutions, including:
  • Imperial College London
  • Goldsmiths, University of London
  • Duke University
  • National Taiwan University
  • Chinese Cryptology and Information Security Institute

---

AI Competition Results

• 4th place: Asia Smart Robotics Competition (亞洲智慧型機器人大賽)
• 57th out of 320 participants: AI Cup’s Multimodal Pathological Voice Classification
• 18th out of 580 participants: AI Cup’s Go Game Strength and Style Recognition Competition