Grad student at University of Hull in AI/Data Science.
Exploring the intersection of traditional business practices and artificial intelligence. Currently developing multi-agent systems to handle the nuanced, semi-repetitive tasks that define white-collar work—too complex for simple automation, too routine for constant human intervention.
Exploring the intersection of traditional business practices and artificial intelligence. Currently developing multi-agent systems to handle the nuanced, semi-repetitive tasks that define white-collar work—too complex for simple automation, too routine for constant human intervention.
Background
Education
University of Hull
MSc Artificial Intelligence and Data Science
Current Graduate Student
University of South Florida
Bachelor of Science, Accounting
Graduated
Professional Experience
- Real Estate Broker - Primary career focus
- Internal Audit - Risk assessment & compliance
- Accounting - Financial analysis & reporting
Research Focus
Multi-Agent Systems for White-Collar Tasks
Developing AI systems capable of handling professional tasks that exist in the middle ground—more complex than simple automation can manage, but not requiring the full creativity of novel problem-solving. These systems leverage multiple specialized agents working in coordination to augment human capabilities in areas like contract analysis, compliance monitoring, and financial review processes.
Target Domain
Legal & Financial Services
Primary Focus
Contract Review Automation
Methodology
Multi-Agent Architecture
Current Work
Research Applications
- Contract review and analysis systems
- Regulatory compliance monitoring
- Financial document processing
- Real estate transaction workflows
Technical Approach
- Agent specialization and coordination
- Natural language processing
- Process intelligence modeling
- Human-AI workflow integration