Degree in Electrical Engineering. Focused on machine learning and signal processing.
Used deep learning to decode imagined movements from EEG data with tensorflow-keras. Applied machine learning to analyze data from implanted electrodes for a neuroscience lab. Created gesture recognition system which determined choice of gesture from hand movements using a Raspberry Pi, an accelerometer, and an sklearn ML model.
Company that is embracing new technologies and techniques like machine learning, involved in data analysis, and looking to grow.
Especially interested in companies with neuroscience/brain-computer interface related work.
Work in United States
Expected Base Salary
Total Professional Experience
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