
Ezra Wyschogrod
Language Engineer II @ Amazon
About
Linguist with a passion for tech and government
United States
Cambridge
Computer Software
Speech Signal Processing, Text Mining, Alexa, Machine Learning Algorithms, Repositories, Negotiation, Decision-Making, Research Skills, Public-private Partnerships, Natural Language Understanding, Prompt Engineering, Machine Learning, Applied Linguistics, University Lecturing, Analytical Skills, Reliability, Organization Skills, Communication, Key Metrics, Knowledge Graphs
Experience

Language Engineer II
Boston, Massachusetts, United States
• Lead design of new features by extending existing annotation schemas to cover new areas in the target language • Develop NLP components: write rules, build grammars/FSTs, create annotation systems or mappings for the target language • Develop ASR components: evaluate model performance, test and release model changes • Monitor system performance, identify areas for improvement, and provide urgent fixes when necessary

Language Engineer
Boston, Massachusetts, United States
• Develop NLP components: write rules, build grammars/FSTs, create annotation systems or mappings for the target language • Contribute to the design of new features by extending existing annotation schemas to cover new areas in the target language • Use modeling tools to bootstrap and test new functionalities • Analyze system performance and identify areas for improvement

Engineer
Amazon Alexa
▪ Manages the response generation machine learning program for non-English locales as part of the launch of Alexa+, Alexa’s LLM-powered stack. Creates working-backward plans, prompt engineers, negotiates requirements with partner teams. Led delivery of 15% improvement for correct dialect, 2.5% improvement in our north star customer quality metric, and 20% reduction in hallucinations, and 100% consistency in Alexa responding in the correct language. ▪ Manages Natural Language Understanding for Alexa’s legacy (pre-Alexa+) stack. Is the central decisionmaker on which feature request and bug fixes to implement, release. Leads response to high severity events for Alexa’s NLU legacy stack that services 500+ million customers across 12 languages. Oversaw a 2.5% reduction in NLU stack errors despite an 80%+ reduction in resourcing due to our shift to Alexa+. ▪ Spearheads linguistic and conversation design for LLM-powered features such as conversational video search, ticket purchases, and audio recommendations, including intents Drove a 60% decrease in video-search labeling errors. ▪ Tests, trains, and releases ASR (voice) improvements, including a 44% improvement in word error rate for 2022 FIFA World Cup Spanish language customer requests.

Knowledge Engineer
Alexandria, Virginia
▪ Implements natural language processing solutions as part of a knowledge engineering team ▪ Works with technical team to implement and maintain scripts for linguistic project support ▪ Provides insights for complex, heterogeneous data ▪ Maintains semantic taxonomies ▪ Leverages open-source data to test and improve ESUSA's semantic infrastructure

Knowledge Engineer
Expert System USA
▪ Led customization of semantic taxonomy to secure multi-million dollar defense contract ▪ Delivered text mining algorithms to strategic defense clients for document categorization and information extraction to achieve national security objectives ▪ Pioneered central repository of expert system code, accelerating delivery of software to clients.

Public Policy Intern
Joint National Committee for Languages-National Council for Languages and International Studies_JNCL
Garrett Park, Maryland
▪ Tracks legislation related to and affecting national language policy, language education, and language business ▪ Compiles weekly updates on federal legislation and administrative actions to circulate to JNCL-NCLIS Assembly of Delegates, staff and Board Members ▪ Develops and writes weekly blog posts for two series: Language Policy 101 and 2020 Election Coverage ▪ Performs research and analysis using a variety of resources: drafts memos, talking points, and other advocacy documents and materials as assigned for print and online circulation

Public Policy Intern
Joint National Committee for Languages
▪ Facilitated public-private partnership between private sector language companies and US Senate staff.

Instructor
Georgetown University Linguistics Department
▪ Instructed 20+ classroom lectures and seminar discussions on phonetics, phonology, syntax, semantics.

Teaching Specialist
Georgetown University Linguistics Department
▪ Provided support for 40+ students in Phonetics, Phonology, and introductory linguistics courses. ▪ Conducted forced alignment in PRAAT and analyzed post-nasal fortition in Setswana and Sebirwa.
Ezra Wyschogrod's Contact Information
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