Nathan Lafave Email & Phone Number
Who is Nathan Lafave? Overview
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Nathan Lafave is listed as Conversation Designer at Five9, a with 1256 employees, based in Hartsdale, New York, United States. AeroLeads shows a matched LinkedIn profile for Nathan Lafave.
Nathan Lafave previously worked as Sr. Language Data Researcher at Amazon and Sr. Language Data Researcher at Amazon. Nathan Lafave holds Doctor Of Philosophy (Ph.D.), Sociolinguistics from New York University.
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About Nathan Lafave
Nathan Lafave is a Conversation Designer 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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Nathan Lafave work experience
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Sr. Language Data Researcher
• 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 Researcher
• 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.
Data Specialist
• 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.
Research Assistant
Supported 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 Researcher
Developed 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.
Teaching Assistant
Supported 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.
Instructor
Primary instructor for Introduction to Linguistics undergraduate course.Developed course curriculum and all assessment materials, including tests, homework assignments, and research projects.
Research Intern
Performed 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.
Research Assistant
Conducted 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, Tutor
Taught SAT and SAT II Physics preparatory courses to high school students.Tutored students who required individualized attention in preparing to take college entrance exams.
Colleagues at Five9
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Justin Walker
Colleague at Five9Carmel, Indiana, United States
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Anna Liezl (Liz) Lagasca
Colleague at Five9Rizal, Calabarzon, Philippines
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Juan Miguel Miranda
Colleague at Five9Mandaluyong, National Capital Region, Philippines
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Jason Stone
Colleague at Five9Austin, Texas, United States
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Daniele Russo
Colleague at Five9London, England, United Kingdom
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Luís Reis
Colleague at Five9Porto, Portugal
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Chelsea Ried
Colleague at Five9New York, United States
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Hazeel Carcellar
Colleague at Five9Mandaluyong, National Capital Region, Philippines
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Armie Calimlim-Catubay
Colleague at Five9Metro Manila, National Capital Region, Philippines
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Kathy Callahan
Colleague at Five9Livermore, California, United States
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Nathan Lafave education
Doctor Of Philosophy (Ph.D.), Sociolinguistics
Master Of Arts (M.A.), Sociolinguistics
Bachelor Of Arts (B.A.), Linguistics
Education record
Frequently asked questions about Nathan Lafave
Quick answers generated from the profile data available on this page.
What company does Nathan Lafave work for?
Nathan Lafave works for Five9.
What is Nathan Lafave's role at Five9?
Nathan Lafave is listed as Conversation Designer at Five9.
Where is Nathan Lafave based?
Nathan Lafave is based in Hartsdale, New York, United States while working with Five9.
What companies has Nathan Lafave worked for?
Nathan Lafave has worked for Five9, Amazon, New York University, Polonsky Foundation-Nyu Digital Humanities Internship Program, and Research Foundation Of The City University Of New York.
Who are Nathan Lafave's colleagues at Five9?
Nathan Lafave's colleagues at Five9 include Justin Walker, Anna Liezl (Liz) Lagasca, Juan Miguel Miranda, Jason Stone, and Daniele Russo.
How can I contact Nathan Lafave?
You can use AeroLeads to view verified contact signals for Nathan Lafave at Five9, including work email, phone, and LinkedIn data when available.
What schools did Nathan Lafave attend?
Nathan Lafave holds Doctor Of Philosophy (Ph.D.), Sociolinguistics from New York University.
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