2nd Place · Nokia MS Espresso AI Competition
Capacity Intelligence prototype · 100+ participants
About
I work at the intersection of statistics, machine learning, and network systems. At Nokia, I turn operational network problems into testable AI systems, with a focus on AIOps, telemetry, and trustworthy automation.
My path from spatial representation learning to explainable AI now shapes my interest in self-supervised learning and world models: how systems can learn useful structure from complex, changing environments.
Professional experience
May 2026 — Present
Nokia
Solution Architect, AIOps & Network AI
Taipei, Taiwan
- Bridge customer workflows and R&D for agentic, AI-assisted network management.
- Develop containerlab-based network digital twins for automation and troubleshooting validation.
- Work on real-time telemetry anomaly detection and interpretable router health monitoring.
Nov 2024 — Apr 2026
Nokia
Network Engineer, AI/ML Systems Projects
Taipei, Taiwan
- Built a RAG knowledge system over 15 long-form telecom sources, reducing typical lookup from 30–60 minutes to 10–30 seconds.
- Developed a capacity intelligence prototype over 5.93M observations, 16,482 4G cells, and 223 KPIs.
Jan 2024 — Jun 2024
Ericsson
Master Thesis Student, Trustworthy / Explainable AI
Stockholm, Sweden
- Developed a model-agnostic rule extraction method for interpreting black-box predictions.
- Evaluated explanations by fidelity, generation hit rate, and rule complexity.
Education
National Yang Ming Chiao Tung University
M.S. in Statistics · GPA 3.96 / 4.30
KTH Royal Institute of Technology
Exchange Program in Computer Science
National Tsing Hua University
B.S. in Mathematics
Skills
- Machine learningPyTorch, TensorFlow, scikit-learn, XGBoost, Computer Vision, Self-Supervised Learning, Explainable AI
- StatisticsStatistical Modeling, Simulation, Regression, Time Series, Optimization, PCA, Cross-Validation
- AI systemsRAG, Agentic AI, MCP, LangChain, FastAPI, Docker
- Network systemsContainerlab, Network Automation, AIOps, Telemetry, Telecom Network Management
Selected recognition
Gold Award · Intelligent Manufacturing Big Data Analytics
1st place nationwide · approximately 200 teams
Honorable Mention · SinoPac AI GO Competition
Top 10 of 800+ teams · private leaderboard F1 0.8825