Staff Research Engineer

Netradyne Technology Pvt. Ltd.

At Netradyne, I was (loosely) responsible for:

• Developing systems and algorithms for new products/initiatives.
• Design and experiment deep learning based solutions that are relevant to our problems.
• Research current literature for techniques which may be relevant to our products.
• Mentor junior colleagues in day-to-day technical work.
  

My work focused on driver drowsiness detection:

• Details of the resulting product are here: Driver Drowsiness with DMS Sensor
• Identify and build deep learning models to extract eye features which can be used to detect drowsiness.
• Develop classical signal processing algorithms with known drowsy markers, that can be used in real-time detection.
• Manage lab and field collected data and analyse it.

Languages/Tools/Frameworks: Python, Opencv-python, Pytorch, Linux, Aws, Git
Theory: Machine Learning, Deep Learning, Computer Vision, Signal Processing