Tarush Arya

I am a Computer Vision Engineer with two years of internship experience, including one year focused on computer vision and another year dedicated to developing real-time trading algorithms for the U.S. equity markets. My proficiency in Python, deep learning, and MLOps has enabled me to deliver impactful solutions, such as a live trading system that currently outperforms major U.S. equity benchmarks.

During my tenure at Tynor Orthotics, I successfully annotated over 50,000 images and deployed a YOLOv8 model that achieved a remarkable 93% mAP for defect detection. This system is now actively used in industrial settings, significantly enhancing real-time quality inspection processes. I thrive on challenges and am passionate about leveraging technology to solve complex problems.