Botty Dimanov, PhD

Botty Dimanov, PhD

CEO & Co Founder (Yc's21) @ Tenyks

About Botty Dimanov, PhD

Botty Dimanov, PhD, is the CEO and co-founder of Tenyks, a University of Cambridge spin-out focused on artificial intelligence. He holds a PhD in Safe & Explainable AI for Computer Vision and has received recognition as a Forbes 30 Under 30 honoree.

Work at Tenyks

Botty Dimanov serves as the CEO and Co-founder of Tenyks, a role he has held since 2019. Under his leadership, Tenyks has achieved significant recognition, including being named Company of the Year by Cambridge University and winning the Best Product of the Year award from the Edge AI Alliance. Tenyks is recognized as a University of Cambridge spin-out and has been acknowledged by Sifted as a Rising Star in Gen AI.

Education and Expertise

Botty Dimanov holds a Doctor of Philosophy (PhD) in Safe & Explainable AI for Computer Vision from the University of Cambridge, which he completed from 2016 to 2020. He also earned a Master of Philosophy (MPhil) in Advanced Computer Science from the same institution in 2016. Prior to this, he studied Computer Science at the University of Southampton from 2012 to 2015 and attended the American College of Sofia from 2007 to 2012.

Background

Before co-founding Tenyks, Botty Dimanov held several positions in the tech industry. He worked as a Deep Learning Consultant at Featurespace from 2016 to 2017 and served as CEO & Co-founder of UVHotspot from 2016 to 2019. Additionally, he was the CTO at Vensy from 2017 to 2019. His early career included internships at BulPros as a Java Developer Intern in 2013 and at J.P. Morgan as a Technology Intern in 2014.

Achievements

Botty Dimanov has received several accolades throughout his career. He was recognized as a Forbes 30 Under 30 honoree and selected for the Forbes Under 30 Class of 2023 for Powering a Digital Revolution. He has also been featured in Forbes Bulgaria 30 Under 30 in the field of Business Founders. Additionally, he holds a US Patent for extracting concepts from visual information.

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