AI Research · Machine Learning · Business Analytics
Haolin Wang
I am an AI Research Engineer and part-time PhD student in Computer Science at the University of Sheffield. I focus on machine learning, model evaluation, and building reliable data-driven systems for real-world applications.
Education
- PhD (Part-time), Computer Science, University of Sheffield
- MSc, Data Analytics, University of Sheffield
- BA, Mathematics, University of Oxford
Programming and BI
- Programming: Python, SQL, Bash
- ML: PyTorch, TensorFlow, scikit-learn
- BI Tools: QuickSight, Tableau, PowerBI
Specific Skills
- Machine learning modelling (GNNs, deep learning, multi-fidelity models), evaluation, and large-scale experimentation
- Scalable ML training and compute workflows (GPU acceleration, distributed or HPC environments)
- Reproducible ML pipelines
What I Deliver
Machine Learning and Evaluation
Build and benchmark reliable ML systems with PyTorch, TensorFlow, and scikit-learn for real-world tasks.
Engineering and Infrastructure
Develop configurable training pipelines with YAML, automate workflows in Linux/Bash, and scale runs on HPC (SLURM) with GPU acceleration (CUDA).
Analytics and Business Communication
Use SQL, Tableau, PowerBI, and QuickSight to turn data into dashboards and decisions for technical and business stakeholders.