Pooria Ashrafian

I am a Machine Learning Engineer at Railtown AI, where I work on agentic systems and applied ML engineering. My background is in biomedical engineering and medical imaging, with previous work on cardiac ultrasound segmentation, synthetic data generation with diffusion models, and MRI-based quantitative analysis.

I completed my M.A.Sc. in Biomedical Engineering at the University of British Columbia. My thesis focused on synthetic data augmentation for cardiac ultrasound segmentation using conditional diffusion models. Before Railtown, I worked at Prenuvo on medical imaging algorithms for quantitative MRI analysis.

Interests

• Agentic systems
• ML infrastructure
• LLM inference and systems
• Biomedical imaging
• Synthetic data generation

Selected highlights

• Building and maintaining tools for Python-based agentic systems at Railtown AI.
• Developing conditional diffusion approaches for cardiac ultrasound data augmentation during my M.A.Sc.
• Contributing to quantitative MRI analysis workflows at Prenuvo.

See Projects for selected work or Experience for the full timeline.