Kathryn Egan

Lead linguistic annotation strategy and cross-functional coordination for LLM-powered voice AI systems at Amazon Music. Drive requirements definition, vendor coordination, and internationalization efforts for Alexa+ integration. Develop advanced annotation schemas and Python frameworks to measure voice query accuracy and LLM performance. Mentor team members and collaborate with applied scientists, product managers, and engineering teams to deliver high-quality voice experiences. Spearhead quality measurement initiatives and translate technical findings into actionable product improvements.

Led cross-platform NLU integration strategy for Amazon Music with Siri and Google Assistant. Conducted comparative voice platform analyses and designed slot conversion solutions that improved request accuracy by 42%. Developed novel metrics and linguistic analysis methods, achieving 95% reduction in silent failures. Built scalable testing frameworks using PySpark, SQL, and AWS Lambda to generate annotated test data and measure API response quality. Coordinated with Google and Apple engineering teams to resolve integration issues and extended solutions globally for internationalization.

Translated Amazon Music product requirements into technical implementation strategies for Alexa voice integration. Designed model updates and revised annotation guidelines to support new features while maintaining system quality and consistency. Established annotation workflows to measure ASR accuracy, NLU performance, and goal success rates on production data. Led cross-functional coordination to launch features globally while maintaining quality parity across markets.

- Design, evaluate, and implement NLP and ML algorithms using Python and MALLET to reduce burden of manually abstracting unstructured data from electronic medical records. - Translate patient eligibility criteria into on-the-ground data elements and sources, such as unstructured clinical text, insurance data, cancer registry data, and electronic medical record data. - Map data elements and sources to standardized data requests, and collaborate with analysts and IT teams at regional hospitals to fill requests and refine SQL queries on electronic medical records and insurance billing databases. - Link and normalize data between trial observation periods and across multiple hospitals, investigate patterns of care, present results to leadership and stakeholders. - Design schemata for manual data abstraction in Excel or InfoPath, oversee abstraction timelines, and ensure quality. - Develop high-level prescription ordering system modification guidelines for participating hospitals. - Monitor changing national recommendations and clinical practice, evaluate impact of changes to clinical trial and triage possible solutions, and present options to statistics team and leadership. - Review grant applications and publications related to NLP or electronic medical record systems. - Write and submit abstracts outlining major research milestones and present at national conferences.

Spearheaded pilot study developing an automated rule-based NLP system using Python and MALLET for extraction of pancreatic cancer diagnosis and staging elements from clinical notes. Worked closely with oncologists and program managers to determine optimal abstraction schema, conceptualized and managed data annotation task.

Prepared and served high-quality beverages and pastries. Maintained an environment of respect and support for customers and fellow employees. Prepared coffee tastings and guided coffee exploration activities. Trained and mentored new employees.

Improved students’ English through meaningful, clear instruction and a safe and fun learning environment. Taught all ages (2 through 80). Provided instruction to individuals of any ability, beginner to fluent. Catered lessons to the goals of the student, including but not limited to casual conversation, business English, TESOL preparation, supplementary grammar for high school or college, and English for children. Developed and implemented own teaching materials, including games, worksheets, grammar drills and conversation guides.

Provided excellent customer service while managing store personnel, handling deposits, maintaining a safe, clean store environment and preparing coffee beverages. Trained, coached, and mentored new employees.