• Develop a multimodal CT Vision-Language Model by executing extensive experimental cycles across pre-training and fine-tuning; optimize model performance via iterative finetuning and custom benchmark evaluations.

• Accelerated the clinical deployment pipeline, leading validation efforts that achieved a 200% improvement in model clearance.

• Engineered computer vision models to automate the detection of cardiomegaly and vascular abnormalities