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I'm specialized in making technology, especially hardcore AI, work in the 0-to-1 process. My track records include defining tech vision & mission, designing product, building team, executing, all the way to delivering it to customers through disruptive marketing & sales channels. The specialty is industry-agnostic per my experience in self-driving cars, robotics, the internet, and the legal tech industry. Machine LearningNot only I know the rapidly moving frontiers of artificial intelligence, sometimes I'm pushing them myself. EngineeringOwning the entire life cycle of advanced AI system development. Cloud and embedded, C++ or python, architecture or debugging, you name it. ProductWith the cross-industry experiences, i.e., internet, autonomous driving, healthcare, I understand the real complexity of a product and what it takes to ship it with advanced AI. LeadershipLed teams to win hackathons, deliver industry-leading product, and found startups. Always championing great engineering culture. VisionI brought machine learning to the business analytics team in LinkedIn, which sort of helped the team expanded from 3 to ~100 people from 2011 to 2015. I worked on bringing deep learning to future vehicles and robots from 2016 to 2020. The company I joined as the 30th employee became one of the top valued car OEMs in the world as of now (2021).Currently, I'm working on my new vision for my own startup. AcademiaI'm also serving as authors or PC members in data mining research communities as follows.- Program Committees: SIGKDD 2015, 2016- Reviewers for conference/journals including but not limited to -- Data Mining Conferences: KDD (2013, 2012), WWW 2013, ICDM 2013, WSDM (2013, 2011), CIKM 2012, ICDE 2010, VLDB 2009 -- Information Security Conferences: DBSec 2014, CCS (2009, 2008), ESORICS 2009 -- Journal: TIFS 2014, IJCSIS 2012, DAMI (2012, 2013), TKDD (2012, 2008), KAIS 2009- Paper Author for KDD (2013, 2012 * 2), WWW (2014, 2012), ICDE 2009, ICDM (2010, 2008), CIKM (2012)To Headhunters from China, I have no intention to relocate myself to China. Please don't contact me for opportunities in China. Thanks!
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Co-Founder And CtoHuski.Ai Sep 2020 - PresentSan Jose, Ca, UsAI-Native Gatekeeper for Authentic Digital Assets across Web2 and Web3 -
Head Of Ai EngineeringBlack Sesame Technologies Inc Mar 2018 - Sep 2020San Jose, Ca, UsBlacksesame Technologies (BST) is founded by industry veterans in the fields of camera light sensing, chip design, AI, and automotive. Unlike others, our work on computer vision starts from its lowest level possible: we optimize our system performance from physical control of light to edge image understanding, and all the way to the cloud services. Due to our unique advantages in perception tech, we have already generated solid revenue from different market sectors. I'm leading a multi-country team, which I built from scratch, to tackle the most interesting challenges in the field of autonomous driving. It's a disruptive technology that involves machine learning, SLAM, big data, and embedded system. -
Staff Machine Learning EngineerNio (Nextev) Feb 2016 - Dec 2017Jiading, Shanghai, CnNIO is the NO. 1 electronic vehicle startup in China. It will also be the first IPO in this space. (https://www.wsj.com/articles/a-chinese-tesla-rival-launches-1-3-billion-u-s-ipo-1535519800) I was the 30th employee in NIO USA, and I was strategically hired for shaping the AI foundation for NIO. My work, system implementation of deep learning for behavior, image and language understanding, shaped the early stages of almost all AI related projects in NIO. Some examples: NOMI (https://www.youtube.com/watch?v=0XJK-oAcVvc), Autonomous Parking (https://www.youtube.com/watch?v=oTXptUuKGrc)I also helped VPs hiring almost every early positions, from directors to engineers, for the machine learning and data science positions. -
Senior Data ScientistLinkedin May 2014 - Feb 2016Sunnyvale, Ca, UsBusiness KPI Anomaly Driver Analysis--Single-handedly designed and built UI, web service, DB APIs, and machine learning models ----Automatically identify biggest drivers of different kinds (by volume, by flows, by latent factors, etc) --Results presented to executive level for business decision makingDistributed machine learning platform that helps people build propensity model by a few clicks. ------Thousands of features and millions of training instances on HDFS and Hadoop--Azkaban job flow scheduling and self-written enhanced fault recovery--Distributed algorithm integration--UI/UX design and frontend-backend API implementation -
Co-FounderScissorsfly Jan 2013 - Jan 2014Clip & organize all your favorite web in your own way. The startup attempt during my PhD.
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Data Scientist InternLinkedin May 2012 - Aug 2012Sunnyvale, Ca, UsProposed the orgChart project: mining orgChart structure for companies using LinkedIn data. Designed and implemented data mining algorithms for it.Presented the result internally to several teams including business operation team, sales subscription engineering team (team money), and data scientist team. -
Data Scientist InternLinkedin May 2011 - Aug 2011Sunnyvale, Ca, UsSize of Prize model: For every customer, predict the upper bound of its spending with LinkedIn. Data Infrastructure Quality Improvement: cross reference entities among different databases (cost 55% of my time, generates tons of raw/derived features for Millions of records, churns around 1Billion records every month)Talent Competition model: For every company, assign a score that represents it's competitive power in talent acquisition within its industry. (cost 10% of my time, churns around 5B records for 6M company pairs comparison)"Work with Us" advertisement opportunity analysis: analyzed employee pageview data for all companies, decided who's hot or not (cost 20% of my time, churns 10B records every month)Ad-hoc analysis (cost 10% of my time): Some interesting example, for every person in a targeted population, see which are the companies their 1st degree connections work for (churns billion records), for every country, see how many connections it has to all other countries (churns100 billion records)Won 2nd place in the 1st Silicon Valley Intern Hackday hosted by LinkedIn, with Yuchen Zhao(eBay intern) and Xiaoxiao Shi(AT&T intern)Play around (5% of my time) (thanks to so many interesting activities offered by Intern program): attending Sushi making competition, Watching IMAX3D version Harry Potter, Lunch meeting with a lot of LinkedIn heroes, e.g., Reid Hoffman, Mohak Shroff, Kevin Scott, David Henke, Jeff Weiner, Intern Project Fair... -
Research AssistantJp Morgan Chase Feb 2008 - Dec 2008New York, Ny, UsData Mining in financial industry.Helped for building JPMC's Role Based Access Control (RBAC) System.Analyzed business operation roles and their demands for different information security levels to access banking data. Discovered minimum number yet most meaningful roles.
Guan Wang Skills
Guan Wang Education Details
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University Of Illinois ChicagoComputer Science -
Syracuse UniversityComputer Science -
University Of Science And Technology Of ChinaComputer Science
Frequently Asked Questions about Guan Wang
What company does Guan Wang work for?
Guan Wang works for Huski.ai
What is Guan Wang's role at the current company?
Guan Wang's current role is Entrepreneur in AI and Software Engineering.
What is Guan Wang's email address?
Guan Wang's email address is in****@****ail.com
What is Guan Wang's direct phone number?
Guan Wang's direct phone number is +140851*****
What schools did Guan Wang attend?
Guan Wang attended University Of Illinois Chicago, Syracuse University, University Of Science And Technology Of China.
What are some of Guan Wang's interests?
Guan Wang has interest in Consumer Internet.
What skills is Guan Wang known for?
Guan Wang has skills like Machine Learning, Data Mining, Web Development, Start Ups, Algorithms, Databases, Deep Learning, Big Data, Java, Cryptography, Analytics, C.
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