Associate Research Scientist, AI/ML - University of Maryland, ARLIS - College Park, MD
(2026-01)
- Lead and contribute to AI/ML research efforts involving AI agents, LLM evaluation, AI assurance, observability, and responsible deployment of emerging AI technologies for high-consequence missions.
- Architect and lead development of Open Analyst, a multi-agent research assistant for analytic tradecraft that supports open-source research, artifact retrieval, external connectors, and interactive deliverable generation.
- Lead LLM-wiki, a curated knowledge system for LLM research supported by multi-agent librarian workflows and agent-served knowledge surfaces.
- Define technical requirements and needs gaps for enterprise AI observability and assurance across intelligence community use cases.
- Mentor junior scientists, software engineers, and researchers on AI methods, model evaluation, agentic systems, and the practical limits of emerging technologies.
- Translate technical feasibility, risk, and model behavior into language usable by policy, mission, and technical stakeholders.
Principal AI Engineer / Data Scientist - MasterPeace Solutions, Ltd. - Columbia, MD
(2025-10 - 2026-01)
- Served as PI for an automated modeling, testing, and evaluation architecture for multimodal AI systems, including computer vision, speech-to-text, OCR, and machine translation.
- Designed evaluation workflows for complex AI systems, emphasizing repeatability, model comparison, performance characterization, and transition to secure technical environments.
- Coordinated engineering implementation across multimodal model testing, data pipelines, and secure GPU-based evaluation workflows.
Senior AI Technical Advisor - Cornerstone Defense - Washington, DC
(2025-08 - 2025-11)
- Advised senior intelligence community stakeholders on LLM adoption, technical risk, model provenance, evaluation, governance, and responsible deployment.
- Authored standards and guidance for LLMOps, model provenance, and evaluation that translated technical constraints into policy-relevant artifacts.
- Briefed technical and nontechnical stakeholders on feasibility, hype, risks, and assurance needs for emerging AI technologies.
Research Scientist, Machine Learning - National Security Agency - College Park, MD
(2022-01 - 2025-08)
Built and led TorchSig, an open-source RF machine learning library. Optimized performance-critical DSP and ML paths. Adapted deep learning models to RF spectrogram tasks.
- Built and led TorchSig, an open-source RF machine learning library, including dataset generation, spectrogram tools, transforms, training workflows, and GNU Radio integration.
- Optimized performance-critical DSP and ML paths in Rust through Python FFI to support high-throughput signal processing workflows.
- Adapted DETR, XCiT, YOLO-style models, transformers, and deep learning pipelines to RF spectrogram classification, detection, and emitter localization tasks.
- Designed RF anomaly detection approaches using discrete VAE-style encoding, masked modeling, and pattern-of-life learning for complex spectrum environments.
- Mentored junior researchers across ML, RF signal processing, software engineering, and research execution; managed local GPU resources and briefed leadership on technical progress.
Research Fellow, AI/ML and NLP - Center for Cyber Social Dynamics, University of Kansas - Lawrence, KS
(2024-05)
- Conduct research on LLMs, Decision Transformers, NLP, and large-scale social media and news analytics for modeling normative and social dynamics.
- Explore methods for extracting patterns from online information environments and connecting computational models to policy-relevant interventions.
Post-Graduate Researcher - University of Manchester - Manchester, UK
(2016-09 - 2018-01)
- Conducted research in philosophy of mathematics, formal logic, and the history of analytic philosophy while developing computational and data-analytic methods for research workflows.
Adjunct Professor, Philosophy and Logic - Park University - Remote
(2013 - 2016)
- Designed and taught courses in symbolic logic, analytic reasoning, argumentation, and philosophy for online students.
Sergeant, SIGINT Analyst / Electronic Warfare Operator - United States Marine Corps - Camp Pendleton, CA
(2003 - 2008)
- Conducted tactical SIGINT analysis, operated RF intercept and electronic warfare systems, and produced mission-relevant reporting for operational leadership.
