About

Akshaya Purohit is a highly skilled Software Engineer currently working at Google. With over 5.77 years of relevant experience, she has a strong background in developing and implementing cutting-edge technologies. She has a deep understanding of neural networks, research science, and CNN. Prior to joining Google, Akshaya worked as a Graduate Research Student at the University of California San Diego, where she was responsible for building deep neural network models for action recognition and prediction in videos. She explored 3D-ConvNets for the same and used VLAD based Two-Steam CNN for action recognition at any given time instance. She also explored statistical connections between actions over time to make likely predictions. As a Graduate Teaching Assistant at the University of California San Diego, Akshaya was actively involved in teaching and mentoring students. She has excellent communication and interpersonal skills, which enable her to work effectively with colleagues and clients alike. Akshaya holds a Master of Science (MS) degree in Electrical and Computer Engineering from the University of California and a Bachelor of Technology (Hons.) degree in Electronics and Communications Engineering from the International Institute of Information Technology. Her educational background has equipped her with the necessary skills to excel in her field. With her extensive experience and expertise in software engineering, neural networks, and research science, Akshaya is an invaluable asset to any organization. She is a highly motivated individual who is always eager to learn and take on new challenges.