I am a Senior Applied Engineer at Deepgram, where I focus on developing domain-specific Speech AI models to address clients’ unique business challenges. My work includes designing and developing machine learning solutions for speech and language understanding that deliver high accuracy and integrate seamlessly into enterprise workflows.

Previously, I was an Applied AI Engineer at IBM Watson, where I led experiential client engagements and built domain-specific machine learning models tailored to client needs. Before IBM, I worked at Amazon as an Applied Scientist, developing machine learning solutions for noisy product catalogs with the goal of enhancing end-user experiences.

I received my Ph.D. from the Department of CSE at Ohio State University, with a focus on Natural Language Processing (NLP).  My research has led to the development of multiple supervised and semi-supervised machine learning systems capable of extracting structured information from noisy user-generated texts. I am passionate about advancing language understanding through ML models, including algorithms for minimal supervision learning and applications to streamline human efforts over time.

Contact: https://www.linkedin.com/in/jeniyat/