Contributed as a Software Engineer on consulting projects. Focused on evaluation and recommendations related to large scale AI deployments for client applications. Contributed to a NASA SBIR project related to intent-aware motion planning for robotics applications. Directly worked with and prepared reporting for clients in a consulting role.

Performed research working on problems related to automated decision making under uncertainty, robotics control, information gathering, and business processes optimization. Includes work on multi-agent resource allocation problems, workforce development and management, and robot decision making under uncertainty with unreliable sensor inputs. Recent work is focused on developing rigorous AI planning systems and algorithms to robustly optimize industry business processes. Developed algorithms… Show more Performed research working on problems related to automated decision making under uncertainty, robotics control, information gathering, and business processes optimization. Includes work on multi-agent resource allocation problems, workforce development and management, and robot decision making under uncertainty with unreliable sensor inputs. Recent work is focused on developing rigorous AI planning systems and algorithms to robustly optimize industry business processes. Developed algorithms for solving large sequential decision making problems with high-consequence information gathering actions in business process applications. Show less

Completed MS in Computer Science focused in AI planning, decision making under uncertainty, and multi agent systems in May 2021. Qualified for doctoral candidacy in May 2021 as a member of the Resource Bounded Reasoning lab.

Designed, developed, and validated an approach applying probabilistic AI planning for applications in customer processing. Worked as a member of the Strategic R&D team to develop and validate a novel AI planning algorithm intended to scale to a set of real-world business problems as a component of an AI order processing pipeline. Implemented a framework in an R&D application to evaluate the long-term feasibility of the solution approach. Extended existing open-source applications in… Show more Designed, developed, and validated an approach applying probabilistic AI planning for applications in customer processing. Worked as a member of the Strategic R&D team to develop and validate a novel AI planning algorithm intended to scale to a set of real-world business problems as a component of an AI order processing pipeline. Implemented a framework in an R&D application to evaluate the long-term feasibility of the solution approach. Extended existing open-source applications in collaboration with maintainers, engineered to bridge efficiency gaps in existing tools, and implemented in an efficient C++ framework. Rigorously evaluated feasibility on real-world problems producing targeted reporting to inform strategic decision making. Show less

Responsible for developing and maintaining software infrastructure for an engineering consulting business focused on safety testing and data management for the equine industry. Managed and developed onsite data acquisition systems, embedded weather station controllers and sensor arrays, deployed hardware and software for data acquisition by industry management. Managed interface between on site equipment and backend database ecosystem. Assisted and oversaw transition of data analytics web… Show more Responsible for developing and maintaining software infrastructure for an engineering consulting business focused on safety testing and data management for the equine industry. Managed and developed onsite data acquisition systems, embedded weather station controllers and sensor arrays, deployed hardware and software for data acquisition by industry management. Managed interface between on site equipment and backend database ecosystem. Assisted and oversaw transition of data analytics web application & database infrastructure to new organization. Show less