Co-Founder And Cto
CurrentAI-Native Gatekeeper for Authentic Digital Assets across Web2 and Web3
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@huski.ai
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2 phones found area 408
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LinkedIn matched
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Guan Wang is listed as Entrepreneur in AI and Software Engineering at Huski.ai, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at huski.ai, phone signal with area code 408, and a matched LinkedIn profile for Guan Wang.
Guan Wang previously worked as Co-Founder and CTO at Huski.Ai and Head of AI Engineering at Black Sesame Technologies Inc. Guan Wang holds Doctor Of Philosophy (Phd), Computer Science from University Of Illinois Chicago.
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AeroLeads found 1 current-domain work email signal for Guan Wang. Compare company email patterns before reaching out.
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!
Listed skills include Machine Learning, Data Mining, Web Development, Start Ups, and 16 others.
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San Jose, CA, US
AI-Native Gatekeeper for Authentic Digital Assets across Web2 and Web3
San Jose, CA, US
Blacksesame 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.
Jiading, Shanghai, CN
NIO 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.
Sunnyvale, CA, US
Business 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.
Clip & organize all your favorite web in your own way. The startup attempt during my PhD.
Sunnyvale, CA, US
Proposed 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.
Sunnyvale, CA, US
Size 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.
New York, NY, US
Data 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.
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Guan Wang works for Huski.ai.
Guan Wang is listed as Entrepreneur in AI and Software Engineering at Huski.ai.
AeroLeads has found 1 work email signal at @huski.ai for Guan Wang at Huski.ai.
AeroLeads has found 2 phone signal(s) with area code 408 for Guan Wang at Huski.ai.
Guan Wang is based in San Francisco Bay Area, United States, United States while working with Huski.ai.
Guan Wang has worked for Huski.Ai, Black Sesame Technologies Inc, Nio (Nextev), Linkedin, and Scissorsfly.
You can use AeroLeads to view verified contact signals for Guan Wang at Huski.ai, including work email, phone, and LinkedIn data when available.
Guan Wang holds Doctor Of Philosophy (Phd), Computer Science from University Of Illinois Chicago.
Guan Wang is listed with skills including Machine Learning, Data Mining, Web Development, Start Ups, Algorithms, Databases, Deep Learning, and Big Data.
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