Dr. Kevin Decker

Computer Vision Engineer specializing in multimodal perception systems bridging research and production ML

I am a computer vision engineer specializing in multimodal perception systems for SAR, LiDAR, hyperspectral, EO, and other advanced sensing modalities. My work focuses on designing and deploying detection, segmentation, tracking, and fusion systems that bridge advanced AI/ML research with operational production environments.

I have led development of scalable ML infrastructure, perception architectures, and evaluation frameworks supporting real-world sensing applications across defense and research programs. My experience spans the full lifecycle of AI/ML systems, including data curation, distributed training pipelines, model evaluation, deployment tooling, and production-oriented software engineering.

My doctoral research at the Air Force Institute of Technology focused on multimodal remote sensing fusion and statistically sound evaluation methodologies for spatial data.

Key Skills

Computer Vision and Perception

Experience designing and deploying object detection, semantic segmentation, multi-object tracking, trajectory prediction, and multimodal fusion systems for real-world sensing applications.

Multimodal Sensing Systems

Technical expertise spanning SAR, LiDAR, hyperspectral, EO, radar, and autonomous sensing systems, with experience developing perception architectures across diverse sensing modalities.

ML Infrastructure and Tooling

Experience developing scalable ML platforms, evaluation frameworks, and data tooling supporting rapid experimentation, model validation, and operational deployment workflows.

Research to Production ML

Focused on translating advanced computer vision and machine learning research into deployable systems for operational sensing and perception applications.