Yasantha Rajakarunanayake is best known for befriending future Amazon CEO Jeff Bezos, a classmate at Princeton University.
14 Facts About Yasantha Rajakarunanayake
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Yasantha Rajakarunanayake received social media fame and attention for having assisted Bezos on a homework assignment by solving a mathematical problem.
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Yasantha Rajakarunanayake's father spent a short stint working at Daily News as its Deputy Editor before his retirement.
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Yasantha Rajakarunanayake attended the Royal College in Colombo and excelled in his academic studies.
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Yasantha Rajakarunanayake's father advised him to find a well maintained air conditioned office so that he does not have to breathe dusty air while working.
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Yasantha Rajakarunanayake took his father's advice seriously and focused on making a career in IT.
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Yasantha Rajakarunanayake eventually received a scholarship offer to attend Princeton University and left Sri Lanka in 1982 to pursue his remaining undergraduate education at Princeton.
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Jeff Bezos 8.
Bezos, during the talk, related that Yasantha Rajakarunanayake had easily solved a mathematical problem that Bezos and his roommate could not solve.
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Bezos and Yasantha Rajakarunanayake, though, did not maintain a close connection after they left Princeton.
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Yasantha Rajakarunanayake worked for few years as a university professor in Physics and established his reputation with over 50 technical publications before switching his career trajectory into internet technology in 1995 after becoming aware of the potential of Broadband internet.
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Yasantha Rajakarunanayake worked as a senior technologist and scientist with experience spanning three decades.
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Yasantha Rajakarunanayake created several innovative applications and artificial intelligence algorithm designs for human presence and gesture detection with mmWave radar systems.
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Yasantha Rajakarunanayake developed and designed systems algorithms that could leverage AI in novel MedTech and medical imaging applications.
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Yasantha Rajakarunanayake successfully implemented and improved techniques and methodologies that could improvise and enhance medical diagnosis.