Responsible for autonomous surveying projects, encompassing mission planning, field collection, and data processing. Skilled in operating unmanned aerial systems and remote hydrographic survey vessels. Develop detailed scopes of work and accurate cost estimates. Collaborate with clients to identify the most suitable surveying technologies to ensure mission success. Process photogrammetry deliverables using Pix4D and create maps and visualization tools with ArcGIS Pro and Esri ArcGIS Online (AGOL).

Developed image and geospatial algorithms for Windows and Linux operating systems using Python, leveraging packages such as SciPy, Pandas, GDAL, and PDAL. My research addressed complex R&D challenges in deep learning for InSAR atmospheric correction and other remote sensing applications. Authored Small Business Innovation Research (SBIR) funding proposals and identified industry experts to collaborate on research initiatives.

Conducted an in-depth investigation into the accuracy and precision of ranging in airborne single photon lidar, utilizing data analysis techniques in MATLAB and Python. My research culminated in a Master's thesis and subsequent publication in an academic journal. Used Trimble GPS survey equipment for ground truthing.

Processed and analyzed aerial topographic/bathymetric lidar and hyperspectral imagery. Conducted field work, including the setup of Trimble GPS base stations, placement of calibration targets, and collection of ground truth measurements to ensure data accuracy. Researched and published findings on the correlation between multispectral satellite imagery and water penetration capabilities of full waveform bathymetric lidar.

Identified performance and accuracy problems with 3D computer vision algorithms and suggested improvements. Participated in a small start-up team designing image registration software for mobile applications using PrimeSense near-infrared depth-sensing cameras.

Collaborator on various internal R&D aerospace projects. Work included generating synthetic hyperspectral imagery and determining cloud cover contamination in satellite images.