About me
I work in the unclear
middle — and I like it
there.
I work across AI, workflows, products, strategy, and storytelling — usually somewhere in the middle of the mess. My job is to help teams find the signal and build systems that can hold it.
Hi, I’m Aysha.
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Based in
Washington, DC
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Currently
Building + consulting + learning
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Background
Public sector, tech, nonprofit, research
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Values
Clarity, trust, curiosity, and good judgment
What I care about
- Clarity over cleverness
- People over tools
- Systems that adapt
- Trust by design
- Curiosity always
A few things I’ve done
- Communications & public relations
- AI & automation strategist
- Workflow designer & system mapper
- Content & storytelling
- Trainer & workshop facilitator
- Builder of small things that scale
Outside of work
You’ll find me:
- In a good book
- On long walks
- At the gym
- In deep convos
- Collecting notebooks
My journey (non-linear, by design)
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Communications & Public Relations
Started in communications and public relations — learned how systems shape people, and how stories shape systems.
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Public Sector & Operations
Worked across government and mission-driven organizations. Saw the cost of unclear processes and misaligned tools — and what good operating systems can do.
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AI & Systems Work
Began working with AI, automation, and data — not as a technologist, but as a connector and translator. Productization, governance, and the messy middle in between.
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Today
I help teams build, adopt, and understand AI in ways that are practical, human, and trustworthy.
How I work
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Pattern first
I listen for patterns before they have names — what’s really going on under the surface of a problem.
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Translate
I turn complexity into language, models, and stories people can actually use.
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Build small
I prototype, test, and ship small systems that create large relief.
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Care about impact
I care about trust, fairness, human well-being, and whether anyone actually adopts what gets built.
What I believe
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A working app isn’t a system.
A working app is a hypothesis. The system is what lets you keep building the next one.
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AI is only useful if it fits the way work moves.
Tools that don’t fit the workflow get worked around. Fit the work, not the other way round.
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AI governance is people, process, risk, and trust.
Not just policy. Practitioners need field support, not another static PDF.
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Clarity is a form of care.
Good systems make people more themselves, not less. Clarity and kindness aren’t opposites — they’re the same move.