Eugene Yan Email and Phone Number
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I design, build, and operate machine learning systems to serve customers at scale. I also write & speak about ML systems, engineering, and career at ApplyingML.com & eugeneyan.com.I'm currently a Senior Applied Scientist at Amazon where I focus on helping customers read more. Here, I built systems including real-time retrieval, bandit-based ranking, and recsys in search (see RecSys 2022 keynote). More recently, I'm exploring how LLMs can help us serve customers better (see AI Eng Summit 2023 keynote). I also help educate business leaders & teams, align roadmaps, and inject pragmatism and simplicity into ML systems.In the past, I led the data science team at Lazada (acquired by Alibaba in 2016). Other than that, as an early hire in a healthtech Series A, I led the team to ship a ML system for Southeast Asia's largest healthcare provider. At IBM, I built job recommendations and reduced attrition and increased job satisfaction.Outside of work, I share ghost knowledge of applying ML via curated papers, guides, and practitioner interviews, and host a meetup on ML in industry. I also angel invest in early-stage data/ML, infra, and devtool startups.Opinions my own.
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Senior Applied ScientistAmazon Mar 2022 - PresentSeattle, Wa, UsBuilding ML systems to serve customers at scale. Advising execs and teams on how to solve the right problems with the simplest solution. Educating the Org on ML, RecSys, LLMs.• Designing and shipping centralized LLM systems for new GenAI customer experiences:- Built and deployed guardrails (e.g., content-safety, factual inconsistency) for customer-facing apps.- Built retrieval, clustering, and caching systems, improving output & reducing cost by 80%.- Building finetuning pipeline for task-specific LLMs (e.g., summarization) to address legal/privacy concerns, eliminate dependency of 3rd-party APIs, improve performance, and reduce costs by 90%.- Led the use of LLMs to accelerate and nearly complete a three-year roadmap within a year.• Shipping ML & recommender systems to help customers discover, buy, and read more books:- Built bandit ranker to explore-exploit with sparse feedback; increased CTR XX% and profit $Y mil.- Designed labeling queues to collect ground-truth via strategies for precision, recall, coverage.• Educating & advising organizational leadership and teams as part of Generative AI Working Group.
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Applied ScientistAmazon Jan 2020 - Feb 2022Seattle, Wa, Us• Built real-time candidate retrieval for recommendations and search; increased units and revenue by XX million, improved search metrics by Y%, 8,000+ queries/sec, p99 latency < 25ms, low cost (<2k monthly).• Prototyped interactive tag-based discovery for books; launched on Amazon detail page and Kindle app.• Incremental RecSys improvements: Added serendipity & book length preferences; +XX million in revenue.
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BuilderAiterate Labs 2021 - Present• Iterating on AI systems, amplifying teams: https://www.aiteratelabs.com• AlignEval: Making evals easy, fun, and semi-automated: http://aligneval.com• How to build successful LLM products: https://applied-llms.org• Papers, guides, and interviews with ML practitioners: https://applyingml.com -
Machine Learning LeadUcare.Ai May 2018 - Dec 2019Singapore, Singapore, SguCare.ai aims to make healthcare more efficient and reduce cost. Winner of Frost & Sullivan's 2019 Innovation Award and accredited by the Singapore government.Predicted chronic diseases with 80% recall & 50% precision. Wanted to work with insurers to improve insurees’ health & reduce claims; they wanted us to identify who was healthy to sell them more insurance.Shipped hospital bill prediction system for Southeast Asia’s largest healthcare provider; 60% model improvement over prior system,24/7 uptime, 99% SLA, sub-second latency (http://bit.ly/ucarexparkway).Also: pitching, hiring, ML strategy, community engagement, internal tooling (shortened dev cycle by 60%) -
Vp, Machine LearningLazada Group Jun 2017 - May 2018Singapore, Singapore, SgLazada is Southeast Asia's largest e-commerce platform; acquired by Alibaba in April 2016.- Facilitated organizational & technological merger between Lazada and Alibaba.Built & led a team of 20+. Engaged execs on data & ML roadmap. Systems we shipped include:- Search and RecSys improvements: Increased CTR and conversion by ~30%- Push notifications: Increased open-rate and add-to-cart by 10%, reduced opt-out rate, increased DAU- Delivery forecasting: Migrated from R to Python and shortened model refresh cycle by 5x- Internal newsletter: Increased business’ understanding of ML, spurring more collaboration on projects -
Senior Data ScientistLazada Group Jun 2015 - May 2017Singapore, Singapore, SgBuilt scalable ML systems across 6 countries, improving business outcomes and user experience, including:- Product ranking: Increased conversion by 5-8% and revenue by 15 - 20%- Product classifier: 95% top-3 accuracy, 200+ queries/second, reduced manual effort >95%, cost by >50%- Search intent API: Increased search CTR by 3-5%, 400+ queries/second- Review classifier: >95% precision, >85% recall, reduced manual effort and cost by >90%
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Data ScientistIbm Jul 2014 - Jun 2015Armonk, New York, Ny, UsJob demand forecasting & internal job RecSys; reduced attrition, reduced compute time by 90%. -
Data AnalystIbm Jul 2013 - Jul 2014Armonk, New York, Ny, UsSocial media analytics for global brand, anti-money laundering for global bank, supply chain for IBM.
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Trade And Investment AnalystMinistry Of Trade And Industry (Singapore) Jul 2011 - Jul 2013Singapore, SgNegotiated the Trans-Pacific Partnership, Singapore-Taiwan FTA, and Singapore-India FTA review. -
Research AssistantSingapore Management University Sep 2008 - Apr 2011Singapore, Singapore, SgContributed to 2 academic papers and several conference presentations. -
Entrepreneur-Intern1-Group Apr 2009 - Jul 2009Tiong Bahru, SgSet up 1-Caramel (a patisserie and café); broke even within 6 months.
Eugene Yan Skills
Eugene Yan Education Details
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Georgia Institute Of TechnologyComputer Science -
Singapore Management UniversityPsychology And Organizational Behavior & Hr
Frequently Asked Questions about Eugene Yan
What company does Eugene Yan work for?
Eugene Yan works for Amazon
What is Eugene Yan's role at the current company?
Eugene Yan's current role is ML, Recsys, LLMs @ Amazon. Writing @ eugeneyan.com; building @ aiteratelabs.com..
What is Eugene Yan's email address?
Eugene Yan's email address is eu****@****ail.com
What is Eugene Yan's direct phone number?
Eugene Yan's direct phone number is +65 8249*****
What schools did Eugene Yan attend?
Eugene Yan attended Georgia Institute Of Technology, Singapore Management University.
What are some of Eugene Yan's interests?
Eugene Yan has interest in Children, Cooking, Investing, Travelling, Predictive Modelling, Traveling, Economic Empowerment, Machine Learning, Analytics, Data Science.
What skills is Eugene Yan known for?
Eugene Yan has skills like Python, Data Analysis, Machine Learning, Data Mining, R, Apache Spark, Artificial Intelligence, Statistics, Spss, Sql, Predictive Analytics, Strategy.
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