I’m a Ph.D. candidate in Mechanical Engineering at Drexel University (expected Dec 2025) building robotic and AI systems for non-destructive evaluation (NDE) of civil infrastructure. I design full pipelines—from sensing and control on a UR3 robot to ROS/ROS2-based SLAM and sensor fusion, and Unity–ROS digital twins—to make inspections safer, faster, and repeatable.
Projects I’ve led include a digital-twin platform for robotic NDE of reinforced concrete, robotic UPV scanning for thickness/defect inference, LiDAR-driven assessment of a fire-damaged I-95 steel girder, and a multi-scale crack measurement system that fuses CNN detection with precise geometry. Recently, I’ve been exploring risk-aware path planning and LLM-guided adaptation of scan strategies, plus 3D defect reconstruction with GPR.

I work daily in C++/Python, ROS/ROS2 (MoveIt, RViz, Gazebo), point-cloud processing (DBSCAN), OpenGL/OpenCL, and simulation (Abaqus/ANSYS/Blender). I also enjoy mentoring, serving student communities (IGSA President), and collaborating with industry on deployable, field-ready solutions.