Machine Learning Researcher & Engineer
I am a machine learning researcher and engineer with a background in electrical engineering and experience across biomedical signal processing, computer vision, biometrics, and real-time machine-learning systems.
My work combines model development with reproducible experimentation and research software engineering. I have worked with physiological signals, image and video data, biometric recognition, and real-world computer-vision pipelines.
Current work
My current work includes computer vision for ocular analysis from RGB video, including pupil localization and measurement, temporal tracking, and robustness under varying acquisition conditions.
I am also developing a research framework for reproducible ECG-biometric benchmarking, with emphasis on standardized experimental workflows, dataset handling, preprocessing, evaluation protocols, testing, and reproducibility.
Background
My previous research includes biometric recognition, physiological-signal processing, motor-imagery EEG and brain-computer interfaces, and applied computer vision for road-scene analysis.