Finding the real question
I listen for the friction behind the request: what people are trying to do, what feels annoying, and what would make the next step easier.
Personal site - Dallas, TX
Kaab Ashqeen
I like spotting problems people keep working around, using ideas and data to understand what is really happening, and building better solutions with the people they are meant to help.
What I tend to be good at
From identifying the real problem to building something that works.
Learning the system
I like getting into the details, whether that means users, data, model behavior, edge cases, or the small choices that decide whether something works.
Making it tangible
I like turning scattered thoughts and evidence into a prototype, dashboard, product decision, or explanation someone can actually use.
About
Product sense, data, and execution — close to the problem, close to the work.
I work across product, data, and operations — usually in roles where the line between strategy and execution is blurry. That's the space I'm most effective in. I'm drawn to problems where the right answer isn't obvious, and getting to it requires both analytical thinking and a real understanding of how people work.
My background spans product development, data analysis, and hands-on building. I'm comfortable moving between defining a problem, digging into the evidence, and shipping something useful. The work I'm most proud of sits at the intersection of all three.
Outside of specific roles I spend time on side projects — building tools, testing ideas, and learning things that don't have a clear payoff yet. That habit tends to make its way back into the work.
Projects
Things I have been making, testing, or thinking through.
01
YGOPLUS
A card-game tool that became my main proof of product instinct, persistence, and practical building.
02
Retail ops modernization
Bringing a tech-forward operator mindset to old retail workflows, from gas-station processes to everyday business automation.
03
AI, data & ML learning
A growing archive of data science, machine learning, and AI systems notes, experiments, and mental models.
04
Miscellaneous experiments
Quant finance models, TCG tools, and consumer-oriented problem ideas that keep pulling me into prototypes.
Contact
Tell me what you're trying to figure out.
I am especially interested in work, projects, and conversations where product sense, implementation, data, and AI meet the real world. Email is the fastest way in.