Engineer with experience in modeling & simulation, applied mathematics, UAV autonomy research, and CAD-based structural modeling. Converts complex physical problems into practical simulation tools and delivers clear, reliable analytical results.
Overview
5
5
years of professional experience
Work History
Naval Architect
Norfolk Naval Shipyard
Portsmouth
07.2025 - Current
Produce and update 3D models and 2D drawings for structural and arrangement changes on the CVN-68 Class using Autodesk Inventor and AutoCAD, ensuring configuration accuracy and compliance with NAVSEA standards.
Build detailed part models, assemblies, and arrangement layouts to support feasibility assessments, ship checks, and work package development.
Conduct preliminary finite element analysis (FEA) and structural evaluations to assess loads, stress distribution, and structural adequacy for new installations and modifications.
Perform on-ship measurements and structural inspections, validating as-found conditions, and incorporating field data into updated CAD models.
Coordinate with structural, mechanical, and electrical disciplines to ensure model integration, interface consistency, and proper foundation design.
Apply naval structural design criteria, shock/vibration requirements, and material standards when creating or modifying models and drawings.
Maintain configuration control by managing model revisions, drawing updates, and engineering changes across the CVN-68 hull planning yard baseline.
Undergraduate Student Researcher
North Carolina State University
Raleigh
05.2022 - 08.2022
Developed a script to batch-rename and organize large data files generated from additive manufacturing test runs, standardizing file-naming conventions and improving traceability and workflow efficiency.
Created a MATLAB image-processing pipeline for analyzing CT-scan pore images of printed aerospace components, supporting porosity characterization and post-process validation.
Assisted in experimental setup and operation of metal additive manufacturing equipment, coordinating with researchers to collect data for material property evaluation.
Organized and cleaned raw experimental datasets, integrating them into standardized formats for downstream analysis and comparison across build cycles.
Undergraduate Student Researcher
Vehicle Systems & Control Laboratory Texas A&M
College Station
05.2021 - 07.2021
Conducted research on reinforcement learning for cooperative flight of unmanned aircraft, focusing on multi-agent coordination strategies for shared airspace and mission objectives.
Assisted in developing and testing RL algorithms that enabled UAVs to plan trajectories, avoid conflicts, and optimize collective behavior under simulated constraints.
Supported simulation environment setup using Python-based tools to evaluate algorithm performance, compare policies, and validate cooperative control strategies.
Analyzed system behavior through data visualization, statistical metrics, and performance evaluation, contributing to iterative algorithm refinement.
Collaborated with graduate researchers to understand UAV dynamics, guidance and control principles, and the integration of RL methods with traditional flight-control frameworks.
Prepared technical notes and documentation summarizing results, experiment configurations, and lessons learned for use in ongoing research.