Neethu Renjith is an accomplished aerospace engineer and machine learning software engineer with a passion for controls and AI. She holds a Master's degree in Aerospace, Aeronautical and Astronautical Engineering from Stanford University, as well as a Bachelor's degree in the same field from the renowned Indian Institute of Technology in Madras.

Neethu has gained valuable experience working with various organizations, including Gridspace, where she is currently employed as a machine learning software engineer. She has also worked as a research assistant with Andrew Ng at Stanford University, along with serving as a student at the same institution. In addition, Neethu has held internships with BayCurrent Consulting, Inc. and National Aerospace Laboratories in Bangalore.

Her impressive educational background, coupled with her vast industry experience, have enabled Neethu to develop a broad skillset in the field of aerospace engineering and machine learning. She excels in both technical and analytical tasks, providing her with the ability to execute projects with precision and excellence.

Overall, Neethu Renjith is a talented engineer and machine learning specialist with an unwavering passion for her field, making her a valuable asset to any organization lucky enough to have her on board.