Yam Kushinsky

Yam Kushinsky has a diverse work experience in the field of algorithm development, machine learning, and deep learning engineering.

In 2014, Yam worked as a Researcher at Ogmenti.

From 2015 to 2018, Yam was a Masters Student at the Weizmann Institute of Science.

In 2018, Yam began working as a Machine Learning Consultant at ActiView.io, where they focused on model selection and formalizing VR experiences into significant features.

During the same year, Yam also became a Team Leader at RideOn as part of the Hubraum accelerator program. They were involved in developing AR technology, including the deployment and training of segmentation deep neural networks, integration with Unity, and using AR glasses.

In 2019, Yam worked as an Algorithm Developer at StratumFive Limited, where they worked on ship route optimization projects. They also served as an Algorithmics and Machine Learning consultant at RideOn.

Since 2020, Yam has been working as a Vision Deep Learning Engineer at CommonGround-AI.

Yam Kushinsky completed a Bachelor of Engineering (B.Eng.) degree in Engineering Physics, with a specialization in signal processing, at Ben-Gurion University of the Negev from 2011 to 2014. Following this, from 2015 to 2018, Yam pursued a Master of Science (MS) degree in Applied Mathematics at the Weizmann Institute of Science.