Henry Tan Email and Phone Number
Henry Tan work email
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Henry Tan personal email
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Technopreneur | Google AI | Microsoft Research | MIT | Cambridge | PhDWorking on the planet scale Search engine at Amazon powering it with GenAIs. Always looking for interesting idea 💡My interests are always be in exciting technologies, investing, coaching, and building successful business.Co-founded AI startup, getting it off from the ground to multi-million dollars valuations and secured VC fundings.Ex Google Brain (TensorFlow/TPU). A member of Google Research & Machine Intelligence.Part of the LLM GenAI history - leading an elite team shipping 0 to GA Google world-best Text Embedding API.Shipped Video Intelligence (beta) at Google - founding engineer of Google Cloud Video Intelligence service; was announced #googlenext17 during Li-Fei Fei's keynote.A founding engineer & incubator of Maguro Bing BigIndex distributed system & Microsoft Distributed DeepLearning Infrastructure (a.k.a project Adam).Recognized for my academic achievements and leadership potential, I received acceptances to world-renowned universities, including the University of Oxford and Ivy League Cornell University with scholarships offers. Admitted to MIT for my master degree, and completed my PhD in Computer Science from University of Technology, Sydney.A consistent high-performer Software Engineer with an extensive experience working with complex large-scale real-time distributed online services. Experience in multi-release cycles and shipping software and services used by millions of users worldwide (Messenger Server, Bing.com, SQL, Azure).A quick learner with can-do attitude and top-notch work ethics, flexible, highly-motivated, strong individual contributor and solid team player with excellent drive for getting things done with quality and strong desire to exceed expectation.I have extensive experience in high-performance, low-latency, large-scale distributed system development. I've built search engine core stack (indexer, query parsing, query execution pipeline, networking subsystem, RPC, index management) and extensive experience with Big Data domain, Information Retrieval, Machine Learning, Data Mining, and Data Visualization. More than 10 years experience writing & running large-scale production code in C++ running on Google Cloud, Bing.com, Azure, Skype, Windows Messenger.Expertise and experience in large-scale, low-latency, distributed system, deployment & monitoring infrastructure, web-search index management & serving stack, query execution (parsing, language & grammar) dev, cloud storage, data viz, machine learning/data mining.
Amazon
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Principal EngineerAmazon 2023 - PresentSeattle, Wa, UsLeading core fabrics R&D of Amazon Rufus Gen AI.
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Entrepreneur/Board Member/Technology AdvisorSelf-Employed Mar 2014 - PresentAs an entrepreneur, incubating and investing in AI technologies, working on Stealth AI startups.
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Technical Lead/ResearcherGoogle Jun 2016 - Jun 2023Mountain View, Ca, UsWorking on the Large Language Model (LLM) training and serving infrastructure.Engineering leader with hands on experience on technologies such as TPU, Cloud ML, Tensorflow and PyTorch runtime, and a proven track records delivering impacts through name brand products such as Youtube, Ads, GCP Cloud ML (Video, NLP, Document AI), Tensorflow. -
Academic AdvisorAi Singapore 2023 - 2023Singapore, Sg -
Research Software EngineerGoogle Brain Jul 2017 - Nov 2020Working on Tensorflow/TPU Kernels and making TPU available in GCP as TPU VM.
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Cofounder/CtoCanotic Inc 2017 - Feb 2019Helped the baby going from 0, as a solo founder for the first 12 months, raised the first $1M and $5.3M round of funding from world class VC and closed half millions dollars contract in the first 12 months deploying AI in real-world to some of the Billion dollars industry in South East Asia. On indefinite leave and passing the torch over and taking care of my health since early 2019 right after raising $5.3M round. “Health is something you take it for granted until it isn’t”.
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Principal SdeMicrosoft Research 2014 - Jun 2016Deep Learning and Distributed Machine Learning project.How often do you get the opportunity to be part of developing the next big thing in computing? And how often can you join a dynamic team working on bleeding edge technology with a track record delivering? Do you dream scalability, consistency and availability? We are looking for highly experienced Distributed Systems design and coding gurus who are not afraid of pushing the state of the art in the field. You will work side by side as a team with other strong developers to design, prototype, and code the next greatest system. The ideal candidate will need to be able to work end to end, up and down the stack on focused high profile projects, be self-sufficient but highly accountable. Come join us to enjoy the excitement of an environment where your work can impact hundreds of millions of users and potentially change the world!We are focused on building scalable infrastructure for large-scale machine learning. We build real distributed systems, not research prototypes. We are looking for candidates with 5+ years of experience designing, coding, and shipping professional software or equivalent experience. Solid knowledge of distributed systems concepts, OS internals, proficiency in C/C++, a BA/BS or MS degree in Computer Science or Engineering are required. Proven expertise with networking, API design, scalable services development, scalable systems is ideal. Familiarity with machine learning basics is desirable but not required. But both the willingness to learn and the ability to learn quickly are essential. Must be comfortable working as a member of a small, high intensity team without traditional PM and test support.Group publications:https://www.usenix.org/conference/osdi14/technical-sessions/presentation/chilimbihttp://www.wired.com/2014/07/microsoft-adam/http://research.microsoft.com/en-us/news/features/dnnvision-071414.aspx
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Senior Software EngineerBluekai 2013 - 2014I am working on an exciting area crunching and converting BigData into Marketing $Insights$!BlueKai is the world's first complete enterprise BigData for marketing. BlueKai offers its customers a solution for managing and activating all their 1st and 3rd party data for use in their marketing and customer interactions. BlueKai represents the only end-to-end SaaS solution for marketers and publishers who are looking to maximize their cross-channel marketing efforts and create a proprietary solution for unlocking reach, scale and efficiency in their data. BlueKai has led the data-driven marketing category since 2008 when it launched the world's first data exchange and then branched out to create the first data management platform (DMP) for marketers. BlueKai is currently trusted by many of the Fortune 30 corporations and thousands of other brands to activate their data and by hundreds of other companies for data management needs.BlueKai was most recently named to Forbes' 50 Most Promising US Companies and Fast Company's 10 Most Innovative Global Companies in Big Data. In addition, BlueKai has been named to the Always On lists for 3 consecutive years. BlueKai is also named #12 on the @Deloitte #Fast500 - fastest growing companies list North America - #4 in Software.Specialtiesadvertising, big data, marketing, DMP, data, insights, analytics, campaign optimizationWebsitehttp://www.bluekai.com
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Senior SdeMicrosoft Jan 2006 - 2013Redmond, Washington, Us2012-2013 - SQL/Windows Azure Storage- Technical role in Table layer, maintaining and optimizing the index management. This area deals with traffic load balancing, performance, index maintenance, capacity, distribution and monitoring.- Technical lead on a short-term start-up project to develop a rich interactive box-line workflow editor web app (HTML5/SVG/Typescript/jQuery/KnockoutJS) for Machine Learning/Analytics cloud service. 2008 - 2012 - Bing IndexServe- One of the key members of the BigIndex project Maguro: a system for indexing and searching over very large text collections (http://dl.acm.org/citation.cfm?id=2433486). Working on core pieces of the technology stack (Matching Engine, Network Subsystem, and Query Execution Engine). One of the early contributors on Architectural and Implementation Design, E2E System Integration, Perf optimization, Experimentation, Monitoring & UI/Tools development.- Large-scale distributed index distribution & management system (involving data transfer ~peta bytes across ten of thousands of live servers)- Owning critical portion of Bing query execution pipeline (query parsing, compilation, language, and grammar). - Publication of Bing advanced query operator syntax documentation (http://msdn.microsoft.com/en-us/library/ff795620.aspx)- Hands on experience with development/modification of critical parts of search engine index serving stack2006-2008 - Messenger Server- Large-scale service monitoring & deployment infrastructure- Data visualization control development- Geo-distributed PubSub service- Live-site system with several hundreds users world-wide -
S/W Engineer LeadSmart Car Technology Jun 2004 - Dec 2005Helping the company raising capital; developed the prototype of SpeedAlert system.
Henry Tan Skills
Henry Tan Education Details
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Massachusetts Institute Of TechnologyMaster'S Degree -
University Of Technology SydneyComputer Science (Specialization: Data Mining)
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Nanyang Technological University SingaporeComputer Engineering
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University Of CambridgeEntrepreneurship/Entrepreneurial Studies
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La Trobe UniversityComp. Science And Engineering
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University Of OxfordExecutive Mba
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Cornell UniversityExecutive Mba
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Smuk 1 Bpk PenaburScience
Frequently Asked Questions about Henry Tan
What company does Henry Tan work for?
Henry Tan works for Amazon
What is Henry Tan's role at the current company?
Henry Tan's current role is Amazon Rufus | Principal Research Engineer | Ex-Google Brain | Ex-Microsoft Research | PhD (Comp. Sci.) | Technopreneur | Founder/CTO.
What is Henry Tan's email address?
Henry Tan's email address is ht****@****ail.com
What schools did Henry Tan attend?
Henry Tan attended Massachusetts Institute Of Technology, University Of Technology Sydney, Nanyang Technological University Singapore, University Of Cambridge, La Trobe University, University Of Oxford, Cornell University, Smuk 1 Bpk Penabur.
What are some of Henry Tan's interests?
Henry Tan has interest in Ad Technology, Search And Indexing, New Technology, Bigdata, Insight, Intelligence From Data, Machine Learning, Visualization, Business, Data Mining.
What skills is Henry Tan known for?
Henry Tan has skills like Big Data, Distributed Systems, Search Engine, Machine Learning, Computer Graphics, Data Mining, Association Rules, Html 5, Svg, Neural Networks, C++, Boost C++.
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