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\title{Science AMA Series: I am Guangda Li, PhD in Media Computing and
Co-Founder and CTO of ViSenze, a company developing visual search and
image recognition through deep learning and computer vision.}



\author[1]{Guangda_Li }%
\author[1]{r/Science AMAs}%
\affil[1]{Affiliation not available}%


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  \date{April 23, 2026}


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\begin{abstract}
Hi Reddit, The company originates from a spin-off from NExT, a leading
research centre jointly established between National University of
Singapore (ranked 22nd in the world) and Tsinghua University of China
(ranked 47th in the world). The spin-off happened in 2012 and since then
we have secured series A funding and well-known customers like Flipkart,
Rakuten, Zalora from Rocket Internet and more. Deep learning is a very
hot area at the moment. There were lots of developments in the past
years that made it progress, but as of now the main evolution will come
from the way it is implemented for specific applications. Visual
technologies like visual search and image recognition are some of these
specialisations that require not only a great use of deep learning and
computer vision but also good industry knowledge for the verticals where
it is applied. There is a huge talent crunch in this space and we need
more and more engineers to consider a career in machine intelligence,
deep learning and computer vision. I am here to answer questions
regarding the real-world applications for deep learning and computer
vision and what it takes to develop algorithms and infrastructure
architectures from a research centre all the way to a company with
established customers. I can reveal the industry potential and latest
challenges, as well as why and how someone can develop a career in this
space. AMA! Read more about my company: https://visenze.com/ Explore
live the product demo we have: https://visenze.com/demo%
\end{abstract}%



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