ML @ Qloo Inc. | MIT Alum

MIT-educated and founder-minded, I bring both systems-level thinking and business rigor to every challenge—serving as a strategic partner to technical founders looking to operationalize and scale their vision. As VP of Applied ML at Qloo, I’ve led cross-functional efforts across engineering, product, and client success to ship high-precision recommendation systems processing 5TB+ of weekly data. My work includes architecting scalable systems (e.g., transitioning from graph-based to catalog-based infrastructure—reducing processing time from months to hours), and building geospatial ML models (~100ft precision), metadata-driven sentiment engines, and trending analysis tools. These capabilities directly contributed to 7+ figure enterprise deals with Fortune 500 clients. Beyond technical execution, I thrive in early-stage environments where clarity, speed, and strategic focus are essential. I’ve driven product strategy, built internal playbooks, led GTM initiatives, and delivered client-facing tools—like a persona generator that doubled customer acquisition in 48 hours.