About

Vighnesh Pai is a highly skilled and motivated Software Engineer currently working at Striim. He graduated with a Bachelor of Technology degree in Computer Science and Engineering with a minor in Computational Intelligence from Manipal Institute of Technology. Vighnesh is passionate about working with deep learning models and is truly fascinated by them. His interest in this field has led him to gain proficiency in tools such as Tensorflow and PyTorch. With 2.77 years of relevant experience, Vighnesh has worked as an intern at Samsung and Hewlett Packard. At Samsung, he designed a novel deep learning pipeline to separate environment sounds from human speech as part of the OnDevice AI team. He built an audio classification model for environment sound classification with over 97% accuracy for the use case labels. He worked with PyTorch for source separation and Tensorflow for audio classification tasks. At Hewlett Packard, he designed a web application in C++ that assists in gzip compression/decompression of files/folders and provides a tabulated report of the process. He deployed the server in a docker container. The web framework used was cpprestsdk. Apart from his professional skills, Vighnesh is a proficient tabla artist and enjoys reading fiction and non-fiction alike. He is a quick learner and is always looking to expand his knowledge in the field of software engineering. His tech stack includes skills in mobile and web development, AI, deep learning, and Docker. Overall, Vighnesh Pai is an accomplished Software Engineer with a passion for deep learning and a proven track record of success in the industry. He is a valuable asset to any team and is always eager to take on new challenges.