Rachel Manzelli

Rachel Manzelli has a diverse work experience in the field of machine learning and research. Rachel currently works at Modulate as a Senior Machine Learning Engineer, where they utilize their expertise in machine learning. Prior to this role, Rachel served as a Research Software Engineer at Modulate as well. Rachel also gained valuable experience at Marlo as a Machine Learning Software Engineer, where they designed and implemented machine learning models and contributed to backend integrations using various programming languages. Rachel's research experience includes working as a Researcher at the Information and Data Sciences Lab, where they conducted research on music generation using deep neural network models. Additionally, they worked as a Teaching Assistant at Boston University College of Engineering and helped students in understanding fundamental machine learning concepts. Rachel also contributed to the development of systems employing secure multi-party computation as a Software Engineering Intern at Boston University Software & Application Innovation Lab. Rachel's passion for research is evident as they served as a Research Assistant at the Rafik B. Hariri Institute for Computing as well. Prior to their academic and research roles, they gained experience as a Teaching Assistant at Boston University College of Engineering, where they assisted students in developing programming skills. Rachel also served as an IT Lead at Peter Sanborn Place, where they successfully deployed a new emergency resident call system platform. Overall, Rachel Manzelli has a strong background in machine learning, research, and programming, making their a valuable asset in any organization.

Rachel Manzelli attended North Reading High School from 2011 to 2015 and obtained a High School degree. Rachel then enrolled at Boston University from 2015 to 2019, where they pursued a Bachelor's Degree in Computer Engineering. In 2017, Rachel also attended Universidad Pontificia Comillas for their Computer Engineering studies, although the duration of their enrollment is not specified.