AI Research & Analytics
My Interests
I research and design AI systems that support improved optimization and practical usefulness for businesses and individuals. My work includes:
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Developing enhanced reasoning frameworks to more effectively represent individual user constraints and heuristics.
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Building AI interfaces that represent the unique reasoning and communication styles of various individuals and organizations.
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Extracting insight from complex datasets by running statistical and machine learning models, and using analytical tools such as Snowflake, Posit Cloud, and other Business Intelligence platforms.
Current Projects
Founder | Rhetorical
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Built and deployed an AI-powered professional self-discovery and communication coach.
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Developed the full-stack system, including frontend, backend, UX, and reasoning engine.
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Created the app using design and development software, including Claude Code, Figma, Render, VS Code, GitHub, and Obsidian.
MSBA Student | CSUCI
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Completing a Master of Science in Business Analytics (MSBA), exploring ways to apply AI to business problems, and how to structure AI systems that reason about complex real-world situations effectively.
Past Projects
Graduate Assistant in AI Research | CSUCI MVS School of Business & Economics
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Researched and implemented an enhanced constraint-optimization framework for improved reasoning in an AI prototype system.
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Produced the Channeling AI campus newsletter, sharing AI best practices and applications.
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Maintained ongoing knowledge of the latest developments in AI platforms and tools.
AI Ethics Board member | CSUCI
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Advised campus leadership on ethical AI implementation in academic settings, through board discussions and policy-focused white papers.
AI Consultant Training Program for Small Business Advisors | Google.org, the Economic Development Collaborative, and the Small Business Development Center
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Designed a chatbot using heuristics-modeling software that replicated the consulting approach of a Small Business Development Center advisor and technology entrepreneur.
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Enhanced advisor's capacity to serve clients by translating his expertise into a scalable reasoning model.
How My Background Shapes My Approach to AI
My studies in rhetoric, ecology, business administration, and business analytics give me a multidisciplinary approach that helps me research and apply AI effectively.
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My MBA provided a comprehensive overview of business strategy, leadership, operations, and finance. The business principles in this degree complement my data and tech-focused MSBA, giving me specialized knowledge of how AI can help companies increase performance and add value for customers.
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Rhetoric introduced me to structural reasoning strategies from this academic discipline dating back to Ancient Greece. I use it as a framework for organizing nearly anything--knowledge, arguments, computer code, or even fiction--into a coherent whole. This structure drives my approach to AI systems design, as well as persuasive business communication.
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Ecology gave me an appreciation for the need to base environmental policy on rigorous science. I learned to research and analyze complex systems using the scientific method, which I use when developing AI theories and papers.
Read more of my ideas about AI on the AI Articles page.