Design, train, and scale computer-vision models and end-to-end ML pipelines for biometrics (face detection, quality assessment, recognition). Benchmark models, optimize for low-latency inference (quantization, distillation, TensorRT/ONNX), deploy on AWS, and mentor other ML engineers while promoting best practices and fairness awareness.

Lead design and production of computer vision biometric systems (face detection, quality, recognition). Build, train, optimize models (PyTorch/TensorFlow/JAX), design end-to-end ML pipelines (Airflow), ensure fairness, deploy and optimize low-latency inference on AWS, mentor engineers, and drive technical best practices.

Lead the design and development of computer vision systems for biometrics. Responsible for training and deploying machine learning models, ensuring fairness, and mentoring other engineers.