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Roshan Swaroop

Roshan Swaroop

Software Engineer, AI Researcher, and Computer Science graduate from Stanford

Palo Alto, California, United States
4.3K connections
Joined May 2025

Summary

Roshan is a burgeoning expert in the application of AI and Machine Learning, particularly in computer vision and natural language processing, to real-world problems. His academic projects at Stanford include comparing object detection models for ICU applications and developing multimodal deep learning for depression screening. Professionally, he has contributed to improving clinical coding using large language models, demonstrating a strong aptitude for practical AI solutions in healthcare. stanford+3
With a background as a Computer Vision Researcher at the Stanford AI Lab, Roshan possesses specialized skills in developing and applying computer vision techniques. His contributions extend to academic papers on topics such as rib fracture detection from CT data and chest radiographs, showcasing his ability to tackle complex image analysis challenges in medical imaging. wiza+2
Beyond research, Roshan has demonstrated practical software development skills through hackathon participation, such as the 'Nab 3D' project at TreeHacks. This project highlights his ability to work with web technologies, backend development, and emerging technologies like photogrammetry to create innovative solutions. devpost+1
Roshan also has experience in education and mentorship, having served as a Teaching Mentor and Section Leader for Stanford's 'Code in Place' program. This role underscores his commitment to fostering learning and empowering others in computer science. stanforddaily

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