Shankar J. has a diverse work history in the field of machine learning and computer vision. In September 2021, they joined Landing AI as a Staff Machine Learning Engineer. Prior to that, they worked at Cognex Corporation from 2015 to 2021, where they held roles as a Principal Vision Engineer and a Senior Vision Engineer. Shankar also worked at MiaSolé in 2015 as a Senior Machine Vision Engineer.
Shankar's earlier experience includes roles at Integro Technologies Corp. Vision Integrators, where they worked as a Senior Vision Software Engineer and a Vision Software Engineer from 2011 to 2014. Shankar also worked at the Liautaud Graduate School of Business as a Graduate Assistant and a Graduate Research Assistant, where they managed IT support requests and assisted in running a high-profile IT environment.
Additionally, Shankar has research experience, having worked as a Research Graduate at the Machine Vision Lab, UIC, from 2009 to 2011, and as a Research Assistant at the Computer Vision & Robotics lab, UIC, in 2010. In this role, they developed a custom user-interface for a mobile robot and worked with the Robot Operating System to integrate open-source drivers.
Overall, Shankar has a strong background in machine learning, computer vision, and IT support, with a range of experience in both industry and academia.
Shankar J. obtained a Bachelor of Engineering (B.E) degree in Electronics & Communication from Anna University, where they studied from 2003 to 2007. Shankar later pursued a Master of Science degree in Electrical & Computer Engineering from the University of Illinois Chicago, attending from 2008 to 2011.
In addition to their formal education, Shankar also obtained several certifications to enhance their skills and knowledge. These certifications include:
- "Tensorflow: Advanced Techniques Specialization" from Coursera, obtained in August 2021.
- "AWS Cloud Technical Essentials" from Amazon Web Services (AWS), obtained in July 2021.
- "Generative Adversarial Networks (GANs) Specialization" from Coursera, obtained in November 2020.
- "Structuring ML Projects" from Coursera, obtained in November 2020.
- "Advanced Computer Vision" from Udemy, obtained in October 2020.
- "PyTorch for Deep Learning and Computer Vision" from Udemy, obtained in September 2020.
- "Unsupervised Deep Learning" from Udemy, obtained in August 2020.
- "Tensorflow 2.0 - Deep Learning & Artificial Intelligence" from Udemy, obtained in July 2020.
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