Lead applied research to develop and improve biometric algorithms for image quality, recognition (finger, face, iris, scars/marks/tattoo), fusion, and presentation-attack detection. Implement, benchmark, and validate deep-learning and classical CV methods, write near-production code, train and deploy models, publish and patent results, collaborate cross-functionally, and support occasional pre/post-sales activities.