Devin Gulati

Devin Gulati has a diverse work experience in machine learning and AI. Devin currently works as a Machine Learning Engineer at ZeroEyes since 2022. Previously, they worked at the Wireless Information Network Laboratory (WINLAB) as a Machine Learning Research Intern from October 2020 to June 2022. Devin conducted research on reconstructing audio frequency data with noise by utilizing Long Short Term Memory (LSTM) network layers in a Denoising AutoEncoder structure. Additionally, they served as a Machine Learning Researcher at WINLAB from September 2019 to December 2020, where they led the Computer Science branch of the team, developing audio perturbations for adversarial attacks on voice-enabled devices.

In 2019, Devin was also a Co-Director of the Machine Learning/AI Division at Rutgers IEEE. In this role, they regularly lectured on various ML/AI techniques and topics, ranging from deep learning methods to traditional techniques such as regression, clustering, and ensemble learning.

Before that, they worked as a Lead Machine Learning Intern at Atlas Systems in 2021, where they led a team in accurately predicting root causes of IT systems failures. Devin and their team utilized machine learning and AI techniques to parse and classify raw log messages, extracting parameters and identifying deviations from the norm.

Devin's work experience started in 2017 as a Computer Programmer Intern at NYU Langone Health.

Devin Gulati's education history includes attending South Brunswick High School from 2014 to 2018. There is no mention of a specific degree or field of study during this time. Following high school, Devin pursued a Bachelor of Science degree in Computer Science at Rutgers University from 2018 to 2022.