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I learn by doing. If there's a research problem, I'll figure out a system for it. If there's too much information, I'll find a way to make it useful. I've designed automated workflows to track entire markets and shaped product positioning and GTM strategy alongside engineering and leadership teams. I've also trained and evaluated AI models, contributed to human-AI collaboration research, and built systems that make complex technical information more accessible and actionable.
My cognitive science background gives me the ability to move between disciplines and connect ideas that don't always sit in the same room; research and strategy, human behavior and technical systems, data and narrative. A lot of my work comes down to taking something complex and making it clear for the people who need it.
I care about how AI should be built, not just how it can be. I'm drawn to mission-driven work in AI for good, responsible technology, sustainability, and social impact, with teams that take ethical responsibility seriously. I strive to do work that matters, with people who care about getting it right.
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If your organization is using AI tools (or thinking about it), I can help you evaluate whether they're actually doing what you need them to do. I test AI outputs for factual accuracy, tone, reasoning quality, and alignment with your values, so you can
That's exactly what the AI Readiness Review is for. I look at your current workflows and identify where AI could genuinely help, and where it probably isn't worth the risk or effort. Not every organization needs AI, and I'll be honest about that.
No. I evaluate, recommend, and advise. I can tell you which tools fit your needs, how to use them responsibly, and what to watch out for. But if you need someone to build a custom solution or integrate an AI system into your infrastructure, that's a different kind of work. I can help you write a clear brief for that hire, though.
I test what the AI produces against specific criteria: Is it factually accurate? Does the tone match your organization's voice? Is the reasoning sound, or is it generating plausible-sounding nonsense? Are there bias patterns? I document what I find and give you concrete recommendations for how to address any issues.
Yes, and that's more common than you'd think. Part of the AI Readiness Review includes a staff-facing overview written in plain language that explains what AI can and can't do, what your organization's guidelines are, and how to use these tools responsibly. It's designed to reduce anxiety and build confidence, not add jargon.
I actively work in AI evaluation and have hands-on experience training models. I also hold certifications in AI Foundations and Intelligence tools. This field moves fast, and I stay engaged with it daily through both professional work and ongoing research.
- Evaluate 1-2 AI tools in use
- Accuracy and tone assessment
- Risk summary + recommendations
- One revision round included
- Revisions: 1
- Delivery time: 10 days
- Workflow audit for AI opportunities
- Tool recommendations + rationale
- Responsible use guidelines
- Staff-facing overview document
- One revision round included
- Revisions: 1
- Delivery time: 21 days
- Regular tool evaluations
- Policy and guideline updates
- Ad hoc review requests
- Ongoing revision within scope
- Per Month
- Revisions: 1
- Delivery time: 30 days
| BASIC | STANDARD | PREMIUM | |
|---|---|---|---|
| Name | Tool Evaluation | AI Readiness Review | Ongoing AI Advisory |
| Description |
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| Per Month | |||
| Delivery time | 10 days | 21 days | 30 days |
| Revisions | 1 | 1 | 1 |
| Price | 550.00 USD | 1,200.00 USD | 800.00 USD |
| Order |
