Wen-Ting (Joseph) Wang

Machine Learning Engineer & Researcher

Ph.D. in Statistics • 10+ Years in Production ML

AI Product Engineering Research & Development End-to-End ML Systems

About Me

I’m a machine learning engineer with nearly ten years of hands-on experience and a Ph.D. in Statistics. I build end-to-end systems that combine solid modeling with reliable data and infrastructure — and make sure they work at scale. Lately, I’ve been working on agentic workflows, RAG systems, and spatiotemporal modeling, blending practical engineering with research. My current focus includes conditional diffusion models and spatiotemporal learning methods, aiming to make complex models both more useful and more interpretable.

Professional Experience

AI Product Engineering

Recent

Built an entity linking system for news analytics and assistants, and delivered a RAG + MCP Q&A system for an energy client to support domain-specific search.

RAG NLP

E-commerce

Built large-scale recommendation systems from scratch, handling millions of users and products.

Recommendation Systems Large Scale ML Engineering

Data Science & ML

Earlier

Data science/ML roles focused on NLP and time-series modeling across various industries.

NLP Time Series Data Science

Research

Ongoing

Work on Bayesian diffusion models and interpretable geospatial modeling, integrating statistical methods with modern deep learning.

Bayesian Geospatial Diffusion

Technical Expertise

Machine Learning

Deep Learning NLP Time Series Recommendation Systems

Technologies

Python PySpark PyTorch TensorFlow AWS/Azure FastAPI/FastMCP Docker Kubernetes

Research Areas

Diffusion Models Geospatial ML Bayesian Methods