Abnormal Security
Jimit Bavishi is a seasoned Machine Learning Engineer with a robust background in software development and data science. Currently serving as a Machine Learning Engineer II at Abnormal Security since August 2023, Jimit previously held roles at Zippin as a Software Engineer, where involvement in checkout-free technology was prominent, and at Abnormal Security as a Software Engineer, focusing on enhancing phishing detection through classification models. Prior experiences include software development at Nuance Communications and backend development at Cowbell, as well as a Machine Learning Engineer position at American Express. Early career contributions at Scotiabank included building forecasting models and designing predictive models for business lending policies. Jimit holds a Bachelor's degree in Computer Science from the University of Waterloo.
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Abnormal Security
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The Abnormal Security platform protects enterprises from targeted email attacks. Abnormal Behavior Technology (ABX) models the identity of both employees and external senders, profiles relationships and analyzes email content to stop attacks that lead to account takeover, financial damage and organizational mistrust.