Biomedical Software Engineer Intern
An MRI-to-ultrasound workbench that made model outputs inspectable, with patient-level evaluation.
Longeviti Neuro Solutions · Jun 2026 – Aug 2026
I helped turn an MRI-to-ultrasound research pipeline into a workbench where the team could inspect results instead of taking a model’s output on faith. I built the Python and FastAPI backend, connected it to four synchronized image views, and made each case’s outputs available for review. I also organized more than 85,000 imaging files from 114 patients and evaluated model performance using patient-level holdouts, so results reflected new cases rather than repeated images from the same patients.