Richard Ling

Richard Ling is a Quantitative Software Engineer with extensive experience in data and machine learning within the fintech and AI sectors. They possess a strong background in developing end-to-end AI/ML models and automated data infrastructure, having previously worked as a Mechanical Engineer at AMETEK SURFACE VISION and GILLIG. Currently, Richard is a Full Stack ML Engineer at AnthrAI and a Quantitative Software Engineer at Charles Schwab, where they apply their analytical skills to deliver optimized solutions. Richard's journey in data science began with a comprehensive training program at General Assembly, where they honed their skills in deep learning and statistical modeling. Outside of their professional pursuits, Richard enjoys an array of activities, including reading about new technologies, traveling, and various sports.