AI Workflows & Automation
Designing practical AI-supported systems for repeatable research, analysis, reporting, and workflows.
- Business process mapping
- Reusable analysis workflows
- Review points and output standards
I design and pressure-test AI workflows for financial analysis, research, and operating decisions that need to be clear, defensible, and repeatable.
Designing practical AI-supported systems for repeatable research, analysis, reporting, and workflows.
Pressure-testing AI-generated work where weak assumptions, shallow reasoning, or unsupported conclusions are expensive.
Turning analysis into clear handoffs, operating habits, and standards that make useful outputs easier to reproduce.
Background
Finance, accounting, supply chain, investment banking, teaching, and early-stage building experience shape how AI use cases are evaluated in practical business terms.
Frontier AI research labs
Work involving AI model training and evaluation, with a focus on financial reasoning, output quality, practical business use cases, and model behavior.
Education
Rutgers Honors College & Rutgers Business School