Pavel Kletskov work email
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Pavel Kletskov personal email
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Pavel Kletskov phone numbers
Pavel Kletskov is a Staff Software Engineer at Google. He possess expertise in algorithms, multithreading, stl, distributed systems, python and 44 more skills. He is proficient in Belarussian and English. Colleagues describe him as "Pavel is very good at driving project direction, discovering issues and solving problems. He is also a great team leader to coach his teammates, guide and help them. He is not only very knowledgable about different programing languages but also hands on research and investigation. He is a great asset to every company dreams for." and "I worked with Pavel on Live View in Google Maps. Pavel was a fantastic engineer to have on the team. He tackled very hard and ambiguous problems, including the challenge of Localization in Live View. In augmented reality geospatial applications, localization is determining the location of the device. The localization accuracy is critical for Live View to help users with directions and search around them. Pavel jumped in and was relentless in tackling this problem. There is no "magic bullet" for this problem; it requires algorithmic iteration; system optimization; code and metrics archeology; and an open mind to look at the problem space from new angles. Pavel excelled at it, and Live View is measurably better as a result of his work. I'd hire him again in a heartbeat."
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Staff Software EngineerGoogleRedwood City, Ca, Us
Pavel Kletskov Skills
Frequently Asked Questions about Pavel Kletskov
What company does Pavel Kletskov work for?
Pavel Kletskov works for Google
What is Pavel Kletskov's role at the current company?
Pavel Kletskov's current role is Staff Software Engineer.
What is Pavel Kletskov's email address?
Pavel Kletskov's email address is kl****@****ail.com
What is Pavel Kletskov's direct phone number?
Pavel Kletskov's direct phone number is +140823*****
What skills is Pavel Kletskov known for?
Pavel Kletskov has skills like Algorithms, Multithreading, Stl, Distributed Systems, Python, Scalability, Web Services, Gnu Debugger, Product Development, Cloud Computing, Semiconductor Industry, Machine Learning.
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