Artificial Intelligence

• Design AI/ML pilots supporting predictive analytics, anomaly detection, behavioral analytics, and content automation.
• Build prototypes for IT and cybersecurity anomaly detection using operational, log, and behavioral datasets.
• Develop algorithms for personalization, content classification, and relevance scoring.
• Create end-to-end machine learning pipelines including preprocessing, feature engineering, model training, validation, and deployment.
• Work with system owners and cybersecurity teams to identify model inputs, risk indicators, and performance thresholds.
• Collaborate with dashboard developers to operationalize ML insights into mission dashboards.
• Evaluate new AI technologies, frameworks, and tools for mission applicability.
• Support data exploration, hypothesis testing, and experiment design.
• Produce documentation including model descriptions, assumptions, validation reports, and integration specifications.
• Ensure AI/ML models follow governance guidelines for accuracy, explainability, bias mitigation, and security compliance.
• Recommend optimization opportunities based on data-driven insights and trend analysis.

AI/ML Architect

Patent Engineer – AI/ML, Kernel & High-Performance Compute

Patent Engineer – AI/ML, Kernel & High-Performance Compute

AI Catalyst

Senior Director Analyst, Healthcare Technology and AI Markets

AI Intern