InstaLILY AI
Product & Growth Associate, building trustworthy, impactful AI systems at the intersection of product, data, and growth.
Based in New York
Hey! I'm Luisa.
I make data make sense.
I'm a positive, driven, and analytical builder who's passionate about turning complex data into actionable, human-centered product solutions.
Right now I'm a Growth & Product Associate at InstaLILY AI, working at the intersection of product, data, and growth to build trustworthy, impactful AI systems. I'm also a Co-Founder & CTO at e.closet where I lead product and strategy, shaping the future of sustainable fashion through technology.
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What I'm up to right now
Currently
e.closet
Co-founder & CTO of a fashion-rental marketplace startup, 11K+ users and $100K+ GMV.
Mastered 2x
Graduated with two master's degrees. M.S. Data Science and M.A. Quantitative Economics, summa cum laude. May 2026.
Finding balance
Currently planning trips, diving into books on human behavior and AI, and exploring yoga flows.
Things I've made
A few favorites
Founder · Product
e.closet
The sustainable fashion-rental marketplace I co-founded and lead as CTO. e.closet scaled to 11K+ users, 13K+ items and $100K+ GMV, within a year. I'm currently working on a full-stack web platform coming soon to extend the iOS app.
read more →Research · Econometrics · NLP
How UX to influences user behavior towards action
Combining econometrics with zero-shot models to measure how UI/UX design choices shape purchase decisions in online marketplaces.
read more →Research · NLP · Finance
Using Social Media Sentiment for Stock Market Prediction
A real-time NLP pipeline that reads social-media sentiment and tests how well it forecasts short-term stock-market movements.
read more →How I build
Principles I ship by
Start from the user problem
The strongest work begins with understanding a real user issue. It's likely that this issue is more complex than it seems at first glance, and that the solution will be too. Start with empathy, and build a deep understanding of the problem before jumping to solutions.
Make invisible patterns visible
Turn messy, hidden behavior into insight you can actually see. Whether it's user behavior, market trends, or the inner workings of an AI system, build products that illuminate the patterns that shape our world, so we can make smarter decisions and build better things on top of them.
Design for action, not analysis
Don't stop at what happened. Data and insights are only as good as the actions they inspire, so focus on building products that turn understanding into impact, whether that means a product recommendation, a next step in a workflow, or a nudge toward a better decision.
Technical depth, business judgment
Engineering, product, data, and strategy are one question: what to build, why it matters, and how it creates value. I care deeply about writing clean, efficient code and building scalable systems, but I also care about building the right thing, and making sure it has real impact for the people on the other side.
Build for trust
Transparency, explanations, and safety from the start. Users, teammates, and investors can only trust what they understand. So build products that are clear about how they work, what they know, and what they don't know. Trust is the foundation of any relationship, and it should be the foundation of any product too.
Build with taste
Design is more than just aesthetics, it shapes how people understand and experience a product. So build with care, and make sure the way something looks and feels matches the thoughtfulness of how it works. Good design is a signal of good intent, and it can be the difference between a product that delights and one that confuses or frustrates.
Say hi — I love a good idea (and a good coffee).
— Luisa