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I'm the Founder & CEO of HatAlign, an alignment-first career and hiring platform. We build structured assessment tools that help people navigate a hiring market increasingly distorted by AI. Our first product, Alignment Resilience, is live in founding beta.

→ hatalign.com 

Before HatAlign, I was an Applied Science Manager at Qualtrics in Seattle, where I led a team of ML scientists building AI/NLP capabilities for the company's experience management platform — including search, conversation modeling, sentiment analysis, and text summarization. Prior to Qualtrics, I spent 5+ years at Amazon as a Senior Applied Scientist and Tech Lead Manager, developing web-scale information extraction methods to build knowledge bases for Amazon Retail and Alexa.

I hold a Ph.D. in Computer Science from Indiana University Bloomington, where my research focused on computational fact checking — designing ML techniques to verify claims against structured knowledge bases like DBpedia. I was advised by Prof. Fil Menczer and Prof. Alessandro Flammini in the NaN group.

My interests span ML, NLP, search, fact checking, recommendation systems, and personalization.

More information about my work experience or education can be found here.