AI Engineer / Data Scientist based in Taiwan.
I work on applied AI systems that connect field data, signal analysis, backend platforms, diagnostic reporting, and human-in-the-loop AI workflows.
My recent work focuses on industrial AI and predictive maintenance: vibration monitoring, electrical-signal analysis, remaining-life estimation, automated diagnostic reports, and reliability-oriented platform engineering. Public descriptions are intentionally high-level because some work involves confidential customer data and proprietary systems.
- Industrial AI / Predictive Maintenance: vibration signals, PRPD / electrical-discharge analysis, anomaly detection, trend and RUL interpretation.
- AI Engineering: report-generation workflows, human review gates, deterministic fallback, prompt constraints, and agent-assisted engineering loops.
- Backend / Platform Engineering: Python, Django, PostgreSQL, Redis, asynchronous workflows, data migration, release packaging, and system integration.
- Data Science / Research: time-series modeling, dynamic embedding, NLP, deep learning, web crawling, GIS analysis, and bioinformatics.
- Built and shipped internal industrial AI platform features for equipment monitoring, diagnostic reporting, and predictive-maintenance workflows.
- Processed large-scale confidential field datasets for industrial signal analysis, including multi-sensor PRPD and vibration cases.
- Improved a large diagnostic workload from 35-42 GiB peak memory to 822 MiB, turning a failed long-running task into a successful run.
- Optimized batch waveform analysis from roughly 35 hours to under 1 hour for 25,000+ files.
- Built human + AI workflows where AI accelerates drafting and analysis, while human review controls assumptions, evidence, and customer-facing conclusions.
Jheng-Long Wu, Wei-Yi Chung, Yu-Hsuan Wu, Yen-Nan Ho. Knowledge-Based Systems, 2024.
Passenger flow prediction Dynamic embedding Deep learning Transfer learning
Paper
Wei-Yi Chung, Yen-Nan Ho, Yu-Hsuan Wu, Jheng-Long Wu. IIAI AAI, 2021.
BERT Passenger flow prediction Time series
Paper | Slides
Yen-Nan Ho, Jheng-Long Wu. TCSE, 2020.
NLP Sentiment analysis HAN PyTorch
Full text | Slides
Master thesis project using CNN / inception-style blocks for DNA sequence representation and chromatin interaction prediction.
CNN Bioinformatics DNA sequence CTCF loop prediction
Code
Undergraduate project combining face recognition, multi-object tracking, and person re-identification.
Computer vision MOT ReID Face recognition
Code | Demo
1st Place, E.SUN Bank Financial Programming Contest.
Recommendation system Telegram chatbot FinTech
Code
- 1st Place, E.SUN Bank Financial Programming Contest, 2020.
- Creative Award, AI for Asset Activation Innovation Contest, 2022.
- Finalist, Taipei City Dashboard Hackathon, 2025.
Python Django PostgreSQL Redis Docker PyTorch scikit-learn NumPy pandas SciPy React TypeScript Playwright
- Email: hoyennan@gmail.com
- GitHub: aaron1aaron2