AI Research Engineer | Trustworthy Agentic Systems | Verification Engineering
PhD Candidate in Computer Science at Clarkson University. Independent AI Research Engineer at Kymera Systems LLC. Based in San Antonio, Texas.
I develop multi-agent research prototypes, verification workflows, and scientific software. My work connects model orchestration, tools, and agent memory with provenance and reproducible evaluation. Applications include biometric measurement, computer vision, and autonomous navigation.
Portfolio · Resume · Academic CV · LinkedIn · ORCID · Google Scholar
OpenFIQA Studio is design-stage work on a scientific IDE for biometric quality and verification research. The public repository contains architecture, scientific schemas, and decision records.
Published
- Ali Kia, Aaron W. Storey, and Masudul H. Imtiaz. Advanced Hardware Security on Embedded Processors: A 2026 Systematic Review. Electronics, 15(5), 1135 (2026). DOI.
Accepted
- Aaron W. Storey and Masudul H. Imtiaz. A Three-Channel Audit of the Biometric Evidence Chain. IEEE AIBThings 2026.
- Aaron W. Storey, Ali Kia, and Masudul H. Imtiaz. LLM on the Edge: A 2026 Perspective. IEEE AIBThings 2026.
- Aaron W. Storey, Ajan Ahmed, Yash Sukhdeve, Masudul H. Imtiaz, and Sumona Mondal. Nonparametric Template Persistence Curves for Child Face Recognition via Beta Generalized Additive Models. IEEE UEMCON 2026.
Publication statuses follow my September 4, 2026 CV, with status records dated September 1. Accepted papers are listed separately from published work.
- Clarkson University, AVHBAC Laboratory: Graduate Research Assistant, Autonomous Systems and AI, June 2026 to present.
- Kymera Systems LLC: Independent AI Research Engineer, August 2025 to present.
- Clarkson University, CITeR: Graduate Research Assistant, Trustworthy AI and Biometrics, June 2025 to May 2026.
- Education: PhD Candidate, Computer Science, Clarkson University; MS, Artificial Intelligence, Maryville University; BS, Information Technology, American Military University.
- Teaching: Nine guest lectures for EE622 Advanced Biometrics; co-created the free 100 Days of Machine Learning curriculum.
- Earlier career: U.S. Army veteran with 15 years of technical operations and leadership experience, including data and educational-technology work at the Defense Health Agency.
Tools: Python, Go, R, SQL, PyTorch, scikit-learn, FastAPI, DuckDB, Docker, Linux, Git, ROS2, OpenCV, and Godot.
For research collaboration or AI research engineering opportunities: storeyaw@clarkson.edu.



