About

Twisha Naik is a highly motivated and passionate Machine Learning Engineer and Software Developer with a strong academic background in Computer Science. She holds a Master of Science in Computer Science with a specialization in Machine Learning from Rutgers University and a Bachelor of Technology in Information and Communication Technology with a minor in Computational Science from Dhirubhai Ambani Institute. Twisha is currently working as a Machine Learning Engineer Intern at Adobe where she is gaining valuable experience in the field. Prior to this, she worked as a Machine Learning Engineer and Researcher at Infocusp Innovations where she led a research project for music generation using Deep Learning models. She explored RNN/LSTMs for sequence generation tasks of text completion, image captioning, and handwriting generation. Twisha also feature engineered music data, modified the inputs provided to the model, and achieved better results through subjective analysis. She documented Google Magenta's input parser, MusicXML, which was merged into the official repository. Twisha is a curious, smart, hardworking, and team player with excellent communication skills. She is inclined towards academic excellence with a capability to pursue research and learn about the latest innovations in computer science, especially machine learning. Her technical skills include Machine Learning, Research Scientist, Software Engineer, Deep Learning, and RNN. In her 4.95 years of relevant experience, Twisha has demonstrated her ability to work on complex projects and deliver high-quality results. She is always eager to learn and grow as a professional, and her passion for computer science is evident in her work.