AI and machine learning
PyTorch
PyTorch is what I train models in, including the transformer segmentation models behind my IEEE Access paper.
How I use it
My published research trained transformer-based segmentation models on a custom road-defect dataset in PyTorch. That is the framework I use for anything that needs a custom model rather than an API call. Most client work does not need one, and I say so when it does not.
Offered through
Shipped with PyTorch
All projects →Questions clients ask about PyTorch
- Do I need a custom model or can I use an API?
- Usually an API or a pretrained model plus good data handling gets you there faster and cheaper. A custom model is justified when the domain is narrow and the data is yours. I have done both and will tell you which you need.
Work with me
Need PyTorch work done?
I work remotely with clients across the US, Canada, the UK, the UAE, Brazil and Australia. Tell me what you are building and I will reply with questions, a plan and an estimate.
- Published in IEEE Access, 2025
- BSc CS, Gold Medalist
- Clients in 6 countries
- 10 shipped projects

