Selected work across medical imaging AI, computer vision, spatial AI, signal processing, and research-to-product execution.
Some details are generalized because of client confidentiality, NDA-sensitive research, or patent sensitivity.
Medical Imaging AI
AI-based software connecting medical segmentation, scan interpretation, geometric calibration, spatial alignment, and precision output generation.
Python OpenCV PyTorch CUDA OpenSlide VIPS
Spatial AI / AR-VR
Research and prototype work involving wearable-device interaction, spatial representations, and multimodal embeddings for AR/VR environments.
Python Embeddings CLIP-like models Gaussian splatting Surfels AR/VR prototypes
Computer Vision / Tracking
A Python package that can wrap detection or classification models and improve video predictions using temporal consistency, tracking, and statistical evidence across frames.
Python Computer Vision Tracking TensorFlow PyTorch
Signal Processing / Machine Learning
Signal-processing and machine-learning pipeline for Doppler-pulse radar target classification using spectrograms, filtering, and constrained deep-learning experimentation.
Python Signal Processing FFT Spectrograms CNN RNN
AI R&D Leadership
Led applied AI R&D for cybersecurity and compliance products, including AI assistants, LLM workflows, anomaly detection, and customer-facing AI capabilities.
Python LangChain LLaMA TensorFlow PyTorch Vector databases AWS
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