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Lead Artificial Intelligence and Machine Learning Research Scientist at NASA, specializing in Reinforcement Learning for Autonomous Systems
I am an AI and ML Research Lead at NASA, with over 18 years of software engineering experience. I have been working at NASA for more than 7 years, leading and contributing to cutting-edge projects in generative AI, deep learning, and deep reinforcement learning for autonomous systems and robotics in space. My mission is to advance the state-of-the-art in AI and ML for aerospace applications, and to enable new capabilities and opportunities for space exploration and operations. I have developed novel methods and models for natural language processing, knowledge representation, cognitive systems, and distributed multi-agent task allocation. I have also applied my expertise in reinforcement learning to optimize the control and performance of autonomous flight systems and on-orbit servicing, assembly, and manufacturing. I am passionate about solving challenging and impactful problems that require both scientific rigor and creative thinking.
Old Dominion University
Doctor of Philosophy - PhD, Computer Science
July 1, 2026 – Present
Georgia Institute of Technology
Master’s Degree, Computer Science
N/A – Present
Florida Southern College
Bachelor’s Degree, Computer Science
N/A – Present
NASA - National Aeronautics and Space Administration
Principal Investigator - Distributed Task Allocation as a Service for Urban Air Mobility
April 1, 2021 – Present
NASA - National Aeronautics and Space Administration
Research Computer Scientist - Artificial Intelligence and Machine Learning Lead - Autonomous Systems
August 1, 2019 – Present
NASA - National Aeronautics and Space Administration
Computer Scientist, AST Autonomous Systems | Machine Learning | Artificial Intelligence
September 1, 2016 – Present
NASA - National Aeronautics and Space Administration
Data Scientist
September 1, 2016 – Present
Los Alamos National Laboratory
Graduate Computer Scientist
May 1, 2014 – September 1, 2016
Los Alamos National Laboratory
Graduate High Performance Computing Systems Developer
May 1, 2013 – May 1, 2014
Rooms To Go
Software Engineer
July 1, 2007 – September 1, 2010
Tampa/St. Petersburg, Florida Area
Cultural Fit Analysis
The candidate's background is heavily focused on research and development in AI/ML within a government agency (NASA, Los Alamos National Laboratory). While this demonstrates a strong commitment to complex technical challenges, the target role is 'iOS Developer'. There is a significant mismatch between their demonstrated expertise and the specific requirements of an iOS development role. The project diversity is high within AI/ML, but very narrow outside of it. This suggests a potential cultural fit challenge for a pure mobile development team, as their primary interests and skill set are not directly aligned.
Soft Skills & Operational Fit
The candidate's extensive experience as a Principal Investigator and technical lead at NASA suggests strong leadership, problem-solving, and project management skills. The nature of their work implies a high degree of autonomy and the ability to handle complex, long-term research initiatives. However, specific details on collaboration styles or stress handling are not available from the provided data.