Curiosity,
applied.
I’m Aziza. I explore how things work — and how AI, data, and better systems can change the way we work.
Selected work.
A few problems I’ve worked on, and a few questions I’m still exploring.
Making operations clearer
Analytics that turn complex financial processes into more useful decisions.
↗ 02Making workflows lighter
Automation, data products, and removing unnecessary manual work.
↗ 03Exploring AI memory
An ongoing question: what does it mean for an organization to remember?
↗Everything connects.
A small, growing map of the ideas behind my work and writing.
Explore the Atlas ↗Things on my mind.
Can a company have a memory?
Essay in progress
Where AI meets the reality of operations
Essay in progress
Not a straight line.
I started in law, found my way into finance, and followed the questions that led me to data and AI. The common thread has always been wanting to understand complicated things — and make them better.
Say hello ↗Made to figure
things out.
Work, experiments, and the questions that turn into something tangible. Some shipped. Some still taking shape.
Making financial operations clearer.
Turning fragmented operational information into a more coherent picture, so teams can see what matters and act with better context.
Less reporting. More reasoning.
Thinking about how better data products and thoughtful automation can give operational teams more time for useful decisions.
What would it take for a team to remember?
An ongoing exploration of persistent memory, retrieval, context, and how those ideas could support knowledge across large teams.
When do agents actually help?
Looking beyond impressive demos to explore where agentic systems might add real value in high-context operational environments.
Thinking
out loud.
A notebook for questions, working ideas, and things I’m learning about AI, operations, and intelligent systems.
Can a company have a memory?
From personal assistant memory to shared organizational context: what would useful collective memory look like?
The most interesting AI problems live in operations.
Why messy processes and unglamorous workflows can reveal where intelligence makes a meaningful difference.
How AI memory actually works.
A practical exploration of context windows, retrieval, persistence, and what machines can and cannot remember.
Bringing AI into a big team.
Permissions, trust, knowledge-sharing, adoption — and everything between a prototype and something people use.
Accidentally in tech.
On crossing disciplines, asking too many questions, and finding value in an unconventional path.
Ideas aren't
islands.
An evolving map of how the things I’m curious about connect. Choose a topic to follow the thread.
Have a good
question?
I like conversations about AI, how work works, and ideas that don't fit neatly into one box.
Let's connect.
Interested in collaboration, sharing an idea, or just comparing notes? I'd love to hear from you.
Links and contact email will be added when you're ready.