Mahd Mohsin
Machine Learning Engineer Intern @Visevanderbilt
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WORK HISTORY
Machine Learning Engineer Intern @Visevanderbilt
Nashville, TN, US
Published a first-author paper at the highly prestigious SPIE Medical Imaging Conference, advancing the use of AI in landmark detection for full length leg radiographs.• Reduced detection error from over 100 pixels to less than 4 by developing a novel end-to-end ML pipeline that automates landmark detection for surgeons and aids with pre- and post-surgery analysis.• Outperformed state-of-the-art models by deploying a lightweight real-time model for intra-operative surgical device registration with significantly less training data and optimized compute utilization.• Employed standard Data Engineering practices to preprocess, augment, and manage large-scale radiograph datasets, ensuring high-quality inputs for models.
EDUCATION
Vanderbilt University
Bachelor of Science - BS, Mathematics and Computer Science (Double Major)
ABOUT MAHD MOHSIN
I am a Chancellor\'s Scholar and Junior at Vanderbilt University, double majoring in Mathematics and Computer Science. My current experience revolves around the areas of Software Engineering, AI/Machine Learning, and Data Science with applications to healthcare. Outside the classroom, I spend my time being involved in community service projects, exploring the wilderness, and playing Volleyball/Soccer.
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