ClaimIQ
Multi-agent insurance adjudication — autonomous agents that read, reason over, and resolve claims end-to-end.
I turn data into decisions and ideas into systems. The how is where it gets interesting.
I'm an AI engineer and data scientist drawn to the hard part — the ambiguous brief, the messy dataset, the decision no one's quite sure how to make. That's where I do my best work, and where I find it the most fun.
At NYU Tandon I'm finishing my M.S. in Computer Engineering, focused on AI and data science. I build multi-agent systems, ML pipelines, and analytics that hold up in production — not just in a notebook — and I care as much about the decision they drive as the metric they hit.
What pulls me forward is the gap between what data could say and what most teams actually hear. I close it. And I'm genuinely curious what you'd ask your data if you knew it could answer.
"The best insight is the one a business didn't know to ask for."
Production systems where multiple AI agents collaborate to automate complex, high-stakes workflows.
Turning raw data into the story a business doesn't know it's telling — with models that scale.
Bringing quantitative rigor to decisions that used to run on instinct alone. Data as a creative tool — not just a report.
Multi-agent insurance adjudication — autonomous agents that read, reason over, and resolve claims end-to-end.
A LangGraph churn-intelligence platform that predicts at-risk accounts and recommends the save.
An interactive Tableau dashboard built on real SEC & Statista data — mapping Macy's against the field.
A financial-intelligence Tableau dashboard distilling performance signals into a single executive view.
Review sentiment + topic modeling fused with a Random Forest to forecast sales — R² = 0.94.
Built data-driven sourcing intelligence for a manufacturing marketplace, applying ML to match supply with demand at scale.
Led applied research turning experimental datasets into models and insight, bridging the gap between raw findings and decisions.
Specializing in AI and data science — building multi-agent systems, ML pipelines, and the analytical foundation for a career in luxury strategy.
I want to be in the rooms where the real decisions get made — helping ambitious teams use data science and AI to shape strategy, not just ship dashboards. I believe most organizations are sitting on the most underused asset they own: their own data. I'm here to change that, wherever the problem is hard enough to be worth it.
I'm drawn to the problems no one has cracked yet. If that's the kind of work you're doing — let's talk.
If you're working on something ambitious — I want to hear about it.