Yu Wang

Software Engineer @ i-refact

About

I am a Python/backend engineer & AI Engineer based in Utrecht, Netherlands.Recently, I have been building backend and validation workflows with FastAPI, SQLAlchemy, Pydantic, and pytest, and prototyping structured LLM workflows that turn messy domain input into usable artifacts.My background combines a recent PhD in Computer Science from Utrecht University with hands-on work in interpretable machine learning, data visualization, and applied AI systems. I enjoy building practical tools that make complex data and expert workflows more reliable and easier to use.I am currently open to roles in AI, Python Backend, AI Software Engineering, and Research Engineering.

Country

Netherlands

City

Utrecht

Industry

Higher Education

Skill

Open-Source Software, Software Development, Research Software, Geoscientists, Academic Research, Large Language Models (LLM), Python (Programming Language), FastAPI, Retrieval-Augmented Generation (RAG), REST APIs, Scikit-Learn, Human-in-the-Loop Machine Learning, Deep Learning, JavaScript, Flask, Microsoft Azure, ChromaDB, PostgreSQL, Docker, Large Language Models (LLMs)

Experience

Software Engineer

i-refact

2025-9 - Present · 1 yr

's-Hertogenbosch

- Built a data validation and refactoring platform to improve data quality and pipeline reliability for data engineering workflows. - Worked on backend and validation workflows using FastAPI, SQLAlchemy, Pydantic, and pytest. - Prototyped a structured LLM workflow that converts transcripts and internal documentation into domain-specific artifacts.

PhD Researcher

Utrecht University

2022-11 - 2025-7 · 2 yrs 9 mos

Utrecht, Netherlands

- Researched interpretable machine learning and high-dimensional data visualization. - Developed deep-learning-based methods for generating and exploring high-dimensional data from low-dimensional embeddings. - Built interactive research software and demos for model understanding and human-in-the-loop analysis.

AI Engineer

SLB

2022-2 - 2022-9 · 8 mos

Beijing, China

In the domain of Digital Geomechanics, I undertook a project focusing on the development and implications of related algorithms for real-time drilling operations. The key contributions during this project include: - Built AI workflows over heterogeneous drilling and geomechanics data for digital geostructure modeling. - Implemented a 3D formation labeling algorithm, reducing complexity from O(n^3) to O(n^2) and runtime from hours to minutes. - Developed 3D interactive visualizations and a GAN-based lithology reconstruction solution.