I build systems that turn complexity into something humans can actually use.
My interests and work sit at the intersection of data and product, taking pipelines, models, and messy datasets and shaping them into tools people actually want to interact with. I’ve developed production data systems in financial risk technology and worked with machine learning across academic and applied contexts.
What’s always drawn me to this work is the top-most layer: the experience. How an interface guides attention, how complexity gets translated into something intuitive, and how design makes a system feel trustworthy, not just functional.
Outside of work, I document the world the same way I approach products—through composition, constraint, and intent. Shooting across ten countries has shaped how I think about structure, pacing, and detail, whether I’m framing a shot or a user flow.
Right now, I’m building products that are both technically rigorous and thoughtfully designed. To me, those two things are one and the same.
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Northeastern University
Torch Scholar, Dean’s List
Coursework: Machine Learning, Large-Scale Storage, Advanced Python, Quantitative Topics in Neuroscience, Developmental Psychology
Studied cross-cultural psychology through the lens of the Yugoslav Wars. Visited NGOs, historical centers, and met with researchers and practitioners working in post-conflict memory and reconciliation.
Studied data and software in international governance. Heard directly from officials at NATO, Eurostat, and the EU Parliament on how institutions use data infrastructure at a policy level.
Canadian Imperial Bank of Commerce (CIBC), US Risk Technology · New York, NY
Canadian Imperial Bank of Commerce (CIBC) · Chicago, IL
Khoury College of Computer Science, Northeastern University · Boston, MA