AI SYSTEMS · PRODUCT · STRATEGY
Building and evaluating AI systems for product and strategic decision-making.
I work across AI product strategy, model evaluation, and systems design, combining hands-on building with experience in strategy and enterprise workflows.
Featured Work
A live intelligence system and an active research direction.
AI Intelligence Brief
A live intelligence system that organizes AI developments across labs, newsletters, and media by coverage and momentum, with customizable relevance lenses in development.
Story organization by coverage and momentum is active today, along with adjustable card detail. Custom relevance lenses are in development; automated intake and company/lab tracking are future work.
Graduate Research
Developing research on human-governed AI workflow architecture, parallel review, recursive oversight, and enterprise AI governance.
Current focus: comparing how different review architectures shape reliability, oversight quality, and organizational decision-making.
Current inquiry themes
- Work design between people and AI
- Evaluation & oversight of AI-assisted decisions
- Enterprise systems and real organizational workflows
Experience
- Summer 2026
Graduate Intern, AI Solutions in Finance
Elevance Health (Formerly Anthem Blue Cross Blue Shield)
AI, Automation, and Product rollout across Finance department workflows
- Spring 2026
Lead AI Model Evaluation Fellow
Handshake AI
Adversarial Testing & Red Teaming of Enterprise LLM's to induce natural failures; Final reviewer for Business & strategy domain
- Summer 2025
Corporate Strategy Intern
ITW - Commercial Construction North America
Led ranked analysis on 8 markets & company alignment, supporting product portfolio entry strategies
- 2023 - 2025
Project Manager
Illinois Business Consulting
Led teams of 9-11 consultants through project scoping & workstream coordination in strategy & tech engagements
- Summer 2024
Operations & Process Improvement Intern
Dayton Freight Lines
Process improvement across departments, KPI refinement, route optimization
Research Interests
How work is divided, coordinated, reviewed, and iterated between people and AI.
How AI behavior and AI-assisted work are tested, verified, escalated, and governed.
How these architectures operate inside real organizations, workflows, and decision processes.
Get in touch
Open to conversations about AI product work, strategy, or graduate research.