› Developed and led the prioritization and stakeholder alignment processes for the data catalog product simultaneously supporting growth of both the company’s geospatial platform and data analytics products.› Led a cross-functional team to develop and deliver a new product line between April and June 2020 in response to supply chain and COVID-driven demand signal market opportunities.› Developed the UI strategy for the company’s geospatial platform designed to enable multiple analytic opportunities with a flexible web-based GIS interface.

› Architected a spectral science based mineral exploration product that integrates a variety of satellite, aerial, and in-situ sensors. › Built and deployed a large area deep learning model to detect pipeline encroachment.› Designed and implemented an atmospheric correction routine that is scalable in real time and deployable on arbitrary optical sensors.

› As part of a two person internal team, created a rapid turnaround system for early processing of WorldView-3 data. The system automated the generation of spatial and spectral calibration, enabling rapid dissemination of data prior to general availability.› Designed and implemented Python-based acyclic graph processing software that simplified the deployment of large-scale spectral science analytics of arbitrary geospatial image and vector operations. › Developed pre-launch simulations of WorldView-3 data from aerial hyperspectral flights to validate spectral science applications and to illustrate the tradeoffs between spatial and spectral resolutions. These were described both statistically and empirically using information content techniques and land-use/land-cover classification studies. See “Prelaunch Assessment of WorldView-3 Information Content” for additional details.

› Integration and analysis of oceanographic in-situ profiling data sets from the Argo buoy network with satellite based sea-surface temperature observations to improve heat transfer modeling critical to climate and climate change models.

› Designed and implemented laser manufacturing optimizations targeting stability and longevity metrics to enable scaled production of holographic data storage drives.

› Worked with preliminary aerostat engineering designs to model their impact on market opportunities and communicate the market opportunities through investor marketing materials and funding proposals.

› Developed, documented, and implemented manufacturing process improvements targeting metric improvements in cost optimization, waste minimization, and throughput velocity.› Trained and directed engineering and technician staff in manufacturing operations procedures and project execution to optimize round-the-clock manufacturing production.

› Designed experimental systems and performed parametric characterization of geometrically stable and unstable diode pumped solid state passively Q-switched laser resonators› Evaluated and deployed solid-state laser components for hand-held methane detector and multi-spectral LIDAR systems› Developed automation programs in both Matlab and LabView as well as component instrumentation to aid in the characterization and operation of experimental systems

› Designed and implemented FORTRAN based computational simulations to address uncertainties in detector blinding background rates of proposed experimental designs that resulted in fundamental understanding of sensitivity and optimization of proposed experimental designs.› Designed and manufactured printed circuit boards based thermal sensors for the PHENIX detector airflow systems.› Operated and improved upon sensor clean-room verification procedures for the PHENIX multiplicity vertex detector sensors.