Key Skills

Computer Vision

Extensive academic and professional experience in computer vision, including semantic segmentation, object detection, object tracking, and pose estimation.

Multidisciplinary Experience

Broad expertise across materials science, human factors, and sensor technologies. Proficient with diverse sensing modalities, from lidar to iSAR, effectively bridging research and application.

Hands-on Experience

Professional experience complements academic research in AI/ML, with strong software engineering skills spanning the full ML lifecycle from development to deployment.

Lifelong Learning

Engaged with emerging research in AI/ML and related fields to stay at the forefront of innovation. Curiosity across disciplines drives continuous growth as a researcher and practitioner.