Nathan Lafave Email and Phone Number
Nathan Lafave is a Conversation Designer at Five9 at Five9. They is proficient in Mandarin, Manchu and French. Colleagues describe them as "Nate and I have worked together since my first doc on automatic speech recognition (ASR) improvements for a head partner at Amazon >3 years ago. He provided expert advice and helped ground my recommendations with actionable solutions for dependent teams. From Day 1, he's been a close ally to the global Solution Architecture team because he is so well-versed in spoken language understanding (SLU) and has such an approachable, collaborative and Learn and Be Curious spirit. I can trust him to provide on-point advice, clear direction on complex topics, and drive change (reactively on issue triage and proactively on Think Big ideas) across the SLU stack at Alexa." and "I had the privilege of working with Nate many times over a period of six and a half years at Amazon. Initially, he mentored me for my onboarding as a new Language Data Researcher in the Alexa organization and helped me quickly adapt my linguistics background to NLU performance analytics. After I transitioned to Language Engineering and automation work, Nate became my go-to expert on interpreting performance metrics and defective utterance data. Of the dozens of automation and process optimization projects that I completed for our team, the most innovative and impactful ones came directly from Nate's thought leadership: he is adept at identifying gaps and bottlenecks in an organization's workflows and turning them into actionable changes. Nate would be an invaluable asset to any organization looking to improve their customer experience or expand their customer base by analyzing natural language data or performance metrics."
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Conversation DesignerFive9 Mar 2024 - Present -
Sr. Language Data ResearcherAmazon Jan 2022 - Feb 2024New York City Metropolitan Area• Generate experimental and corpus research solutions to address highly ambiguous problem spaces and provide internal and third-party customers with what they need, which is not always what they initially request.• Investigate and apply new Machine Learning techniques to novel Alexa features.• Monitor and improve customer experience metrics for users of 150K+ global Alexa Skills by providing language modeling and business intelligence solutions for Alexa Skill Builders across 16 languages/markets.• Test, benchmark, and provide support to engineers and product teams for classic statistical language models and Large Language Models (LLMs).• Create and implement human data annotation workflows and conventions for measuring product quality via customer experience, engagement, and monetization metrics.• Use programming languages (e.g., Structured Query Language (SQL)) to extract, transform, and manipulate data from databases handling big data volumes.• Communicate technical information verbally and in writing to both technical and non technical business audiences, including clearly explaining complex problems and solutions, trade offs, benefits, and potential risks. -
Sr. Language Data ResearcherAmazon Dec 2018 - Jan 2022Greater Boston Area• Generate experimental and corpus research solutions to address highly ambiguous problem spaces and provide internal and third-party customers with what they need, which is not always what they initially request.• Investigate and apply new Machine Learning techniques to novel Alexa features.• Monitor and improve customer experience metrics for users of 150K+ global Alexa Skills by providing language modeling and business intelligence solutions for Alexa Skill Builders across 16 languages/markets.• Test, benchmark, and provide support to engineers and product teams for statistical language models and Natural Language Understanding (NLU) artifacts.• Create and implement human data annotation workflows and conventions for measuring product quality via customer experience, engagement, and monetization metrics.• Use programming languages (e.g., Structured Query Language (SQL)) to extract, transform, and manipulate data from databases handling big data volumes.• Communicate technical information verbally and in writing to both technical and non technical business audiences, including clearly explaining complex problems and solutions, trade offs, benefits, and potential risks.
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Data SpecialistAmazon Jun 2016 - Dec 2018Cambridge, Ma• Generate experimental and corpus research solutions to address highly ambiguous problem spaces and provide internal and third-party customers with what they need, which is not always what they initially request.• Investigate and apply new Machine Learning techniques to novel Alexa features, including on Alexa Voice Services (AVS) devices utilizing third-party hardware.• Monitor and improve customer experience metrics for users of 150K+ global Alexa Skills by providing language modeling and business intelligence solutions for Alexa Skill Builders across 16 languages/markets.• Test, benchmark, and provide support to engineers and product teams for statistical language models and Natural Language Understanding (NLU) artifacts.• Create and implement human data annotation workflows and conventions for measuring product quality via customer experience, engagement, and monetization metrics.• Use programming languages (e.g., Structured Query Language (SQL)) to extract, transform, and manipulate data from databases handling big data volumes.• Communicate technical information verbally and in writing to both technical and non technical business audiences, including clearly explaining complex problems and solutions, trade offs, benefits, and potential risks.
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Research AssistantNew York University May 2013 - Jun 2016Supported faculty member in multiple different research initiatives, helped determine methodology and sample size requirements.Compiled, digitized, transcribed, and annotated data in archival research projects.Performed advanced statistical methods to supplement qualitative analysis with quantitative methods.Trained and acted as point-of-contact for undergraduate researcher assistants.Effectively communicated results in 4 academic conferences, including the Linguistic Society of America and New Ways of Analyzing Variation annual meetings. -
Primary ResearcherNew York University Sep 2010 - Jun 2016Developed and conducted an ethnographic and sociolinguistic study of a community of video game players in New York City.Study collected multimodal real-world and virtual gameplay data from 50 individuals.Integrated research methods including ethnographic participant-observation over a two-year period, interviews, textual analysis, statistical modeling and graphing in R.Mentored undergraduate Research Assistant in these methods.
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Teaching AssistantNew York University Sep 2011 - Dec 2015Supported faculty in teaching six undergraduate courses in the Linguistics and Psychology departments.Advised over 45 students in carrying out interviews with New Yorkers to contribute to the Voices of New York database.Created and graded exams, assignments, and term projects.
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InstructorNew York University May 2014 - Jul 2014Primary instructor for Introduction to Linguistics undergraduate course.Developed course curriculum and all assessment materials, including tests, homework assignments, and research projects.
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Research InternPolonsky Foundation-Nyu Digital Humanities Internship Program Mar 2015 - Nov 2015Performed automated collection of Twitter data referencing New York City English (NYCE) and its dialect features. Assessed language attitudes towards NYCE using sentiment analysis. Attended Digital Humanities workshops on topics including project development, using R for textual analysis, coding in XML using TEI guidelines, data visualization, and using Wordpress and Omeka to make research available for public engagement.
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Research AssistantResearch Foundation Of The City University Of New York 2009 - 2011Conducted language acquisition studies with children (ages 2;0-6;0) and adult native and non-native speakers of English as a member of the Hunter College Language Acquisition Research Center (LARC). Transcribed audio and video files of experiments, coded data, performed statistical analysis using SPSS/PASW, and presented findings at weekly lab meetings. Recruited participants for all studies. Met weekly with the supervisor to present and discuss literature relevant to our studies. -
Teacher, TutorThe Princeton Review Jul 2009 - Aug 2010Taught SAT and SAT II Physics preparatory courses to high school students.Tutored students who required individualized attention in preparing to take college entrance exams.
Nathan Lafave Education Details
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Sociolinguistics
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Sociolinguistics
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Linguistics
Frequently Asked Questions about Nathan Lafave
What company does Nathan Lafave work for?
Nathan Lafave works for Five9
What is Nathan Lafave's role at the current company?
Nathan Lafave's current role is Conversation Designer at Five9.
What schools did Nathan Lafave attend?
Nathan Lafave attended New York University, New York University, University Of Michigan, University Of Michigan.
Who are Nathan Lafave's colleagues?
Nathan Lafave's colleagues are Xavier Capul, Al Modglin, Valeriy Postnikov, Kevin Abesamis, Andrey Tereshchenko, Luís Monteiro, Daniella Medenwald.
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Nathan lafave
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