From June 2020 through September 2025, I developed standard test methods, scoring systems, and evaluation frameworks at NIST for aerial, ground, and aquatic uncrewed systems. I translated operational needs into repeatable apparatus, field and bench evaluations, and reusable documentation, contributing to ASTM E54.09 standards work. I pair that test-engineering background with Python data pipelines, edge computer vision, and embedded prototyping.
Featured Projects
Selected work in robotics evaluation, test-method development, and applied software.
NIST Response Robot & UAS Test Methods
Developed and validated emergency-response robot test methods at NIST across aerial, ground, and aquatic systems. Work covered apparatus, scoring, standards-oriented documentation, and first-authored research on aerial drone tests for wildfire response.
RoboCup Brazil 2025 Arena Design
Designed a competition-grade robot-test arena through four CAD revisions, 27 renders, and two video walkthroughs in a roughly two-day design window.
LLM_Pipeline
Built a three-stage Python pipeline that turns PDFs and video into a traceable, RAG-ready corpus using OCR fallback, GPU-aware Whisper transcription, token-aware chunking, and SHA256 document IDs.
Selected Capabilities
Standard test-method development · Verification & validation · ASTM E54.09 standards development (incl. E3132/E3132M re-balloting support) · sUAS operations (FAA Part 107) · UAV fleet management & Remote ID compliance · Drop testing & confined-space evaluation · Remote evaluation frameworks & scoring · SOP/JHA & technical-report authorship · Thermal/visual acuity benchmarking · HIL/SIL/MIL workflows · Python data engineering (Whisper speech-to-text, OCR-fallback extraction, token-aware chunking) · Applied AI/CV (YOLO-OCR on NVIDIA Jetson) · Embedded systems (ESP32, Jetson) · CAD & simulation (SketchUp, Unreal Engine, JSBSim) · Tableau analytics
Published Research
Fraley, A., Nowery, E., Devine, M., Jacoff, A., Oh, P. — “Adapting NIST Aerial Drone Tests for Thermal Identification, Inspection and Suppression of Wildfires.” NIST, published December 6, 2024; presented at the 2025 IEEE 14th Annual Computing and Communication Workshop and Conference (CCWC 2025), Las Vegas, NV.
First author. Read on nist.gov
Applied Software & AI
I build software for testing and evaluation: a three-stage Python corpus pipeline, a Jetson-based YOLO-OCR scorer for UAV video, a configurable Unreal Engine/JSBSim drone simulator, and ESP32 wireless prototypes.
In Parallel
In parallel, I run Curiosell Systems LLC, an independent technical studio for privacy-first Swift apps and developer tools. Shipped work includes France Drone Prep, LogLens, and EventScope Vision.
I’m also pursuing an M.S. in Data Analytics at UMGC, expected December 2027, extending my test-and-evaluation background with formal training in analysis and visualization. More on the About page
Get in Touch
Open to professional inquiries, collaboration, and project-related conversations — especially robotics testing, UAS evaluation, simulation, and aerospace engineering opportunities.