Kevin Guo's Work Experience
CEO and Co-Founder
January 2014 to January 2017
Mithril Capital Management
August 2013 to March 2015
June 2012 to September 2012
January 2010 to January 2011
Washington University School of Medicine
June 2006 to January 2011
Kevin Guo's Education
In a nutshell
Extraversion (E), Sensing (S), Feeling (F), Judging (J)
2 year(s), 0 month(s)
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About Kevin Guo's Current CompanyHive
Frequently Asked Questions about Kevin Guo
What company does Kevin Guo work for?
Kevin Guo works for Hive
What is Kevin Guo's role at Hive?
Kevin Guo is
Kevin Guo's phone (**) *** *** 105
What industry does Kevin Guo work in?
Kevin Guo works in the Computer Software industry.
About Kevin Guo
💼 Past Experience
Kevin Guo's Education:College: Stanford University,Stanford, California, B.S. in Computer Science, January 2010- January 2011. Work Experiences:Co-founder and CEO at Hive (We're hiring!) Kevin Guo is currently a Venture Associate at Mithril Capital Management from August 2013 to March 2015 (1 year 8 months) in San Francisco Bay Area. Fellow at Lightspeed Venture Partners from June 2012 to September 2012 (4 months) in Palo Alto, CA. Fellowship recipient of a summer grant at Lightspeed Ventures. CEO and Co-founder at Hive in San Francisco, CA.Hive is a full stack deep learning platform helping to bring companies into the AI era. We label training data through Hive Data, a distributed workforce of over 1M workers around the world generating millions of high quality pieces of data a day. We then use this data to build machine learning models with applications in verticals like Media, Autonomous Driving, Retail, and Security.Today, we work with some of the largest companies in the world to redefine how they think about unstructured visual data and together we build solutions that completely transform verticals.We are fortunate to be funded by leading investors like Peter Thiel (Founders Fund), General Catalyst, Formation 8, and others. We have ~120 people worldwide, based in our San Francisco and Delhi offices. If you're interested in the future of AI and want to join us, please reach out!. Research Assistant at Stanford University School of Medicine from January 2010 to January 2011 (1 year 1 month). Development of novel transfection agents for in vivo gene therapy applications. Research Assistant at Washington University School of Medicine from June 2006 to January 2011 (4 years 8 months). Development of novel probes for tumor imaging. My work has generated 12 peer-reviewed publications, 3 conference publications, and 1 patent.
Kevin Guo's educational background and work readiness comes from his undergraduate work at Stanford University where he received his BS in Mathematical and Computational Sciences in 2016 and his Master of Science in Computer Science in 2018. KS has also been a post-doctoral affiliate in the Department of Electrical Engineering and Computer Science at UCLA for the past two years.From his undergraduate work at Stanford University, Kevin Guo earned his BS in Mathematical and Computational Sciences in 2016. This followed his previous graduate work in Computer Science at Stanford University, where he earned his MA in Computer Science in 2018.Since his undergraduate work at Stanford University, Kevin Guo has also been a post-doctoral affiliate in the Department of Electrical Engineering and Computer Science at UCLA. At UCLA, he has been working on issues related to deep learning and reinforcement learning. This has led to some notableExperiments and breakthroughs in these areas of research.Overall, Kevin Guo's background and work readiness provides him with the foundation needed to enter the field of computer science and engineering. His work readiness has been impressive, and he has shown a strong commitment to continuing his education and developing his skills.
💡 Technical & Interpersonal Skills
Kevin Guo has a lot of experience in the technology field and works particularly well with data. He is able to see the big picture and build prototypes quickly, which is something that is important in the technology industry. Furthermore, he is also very good at networking and making connections, which is important in a career in technology. He is also very effective in delegating tasks and has a great attitude for working with other people.
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