Selected work building AI-driven cybersecurity, data, and analytics platforms. Capabilities and impact are described at a high level by design.
Teleseer
Production cyber-topology visualization platform. Architected an air-gapped, LLM-powered analyst assistant for real-time situational awareness, plus autoencoder-based anomaly detection on NVIDIA Morpheus over high-volume network telemetry. Cloud platform serving enterprise and federal users.
LLMs NVIDIA Morpheus GCP Network viz
Visit Teleseer →Portable Robot / IoT Data Framework
A sensor- and platform-agnostic telemetry-collection framework, written in Go, providing highly portable data capture for robotics and IoT devices in defense research settings.
Go IoT Robotics
Augmented-Reality Cyber Interface
Research (Software Engineering Institute, Carnegie-Mellon) into presenting cyber situational awareness and affordances to operators in the field through an augmented-reality interface.
AR Research HCI
Cyber Risk-Scoring Platform
Designed and validated algorithms mapping security controls and events onto dynamic risk scores to inform defensive cyber operations, with integrated front- and back-end components.
Risk analytics Python Full-stack
Petabyte-Scale Cyber Analytics
Built data-mining, analytics, and parsers on a large, multi-source cyber big-data platform — fusing cyber, intelligence, and user data to surface insights and anomalies at scale.
Spark Hadoop Elasticsearch
More code and experiments live on GitHub.