Eta Compute
Ramesh Basnet is a Senior Machine Learning Engineer at Eta Compute, focusing on developing an AutoML system for embedded devices based on Neural Architecture Search for computer vision tasks. Prior to this role, Ramesh worked as a Machine Learning Software Developer at Circle Cardiovascular Imaging, where Ramesh developed advanced algorithms for cardiovascular healthcare objectives. With a background in Electrical and Computer Engineering, Ramesh has also conducted research in deep learning algorithms for medical image processing and designed machine learning models for emotion prediction from audio-visual data. Additionally, Ramesh has experience as a News Presenter at Bangladesh Betar.
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Eta Compute
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Eta Compute creates energy-efficient AI endpoint solutions that enable sensing devices to make autonomous decisions in energy-constrained environments in smart infrastructure and buildings, consumer, medical, retail, and a diverse range of IoT applications. The Company’s TENSAI Platform optimizes the implementation of Neural Networks on its neural sensor processor and on partner Edge AI processors and improves the energy per inference and the system cost by an order of magnitude or more.