Software Engineer Intern – AI & Computer Vision

• Engineered computer vision pipelines for image quality enhancement and denoising, improving robustness of AI-driven diagnostics
• Trained and fine-tuned YOLOv8n on 2K dermatology images, supporting model validation and performance testing
• Enhanced GPU inference and integrated clinical feedback to improve model interpretability and reduce latency by 40%
• Designed evaluation pipelines to measure model performance, interpretability, and latency tradeoffs in production-like settings
• Worked closely with domain experts to refine model outputs and reduce failure cases in real clinical data