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Ezequiel Donovan is a skilled Software Engineer at Pixalate since September 2021, previously serving as a Research Engineer at California State University, Northridge, where contributions included developing a machine learning pipeline for predicting solvation free energies. Ezequiel also consulted at nFlux AI on distributed training for reinforcement learning agents and interned as a Machine Learning Engineer, creating a versatile reinforcement learning framework. Earlier experience includes work as a Full Stack Developer at Opuzen, focusing on web application solutions, and serving as a Teaching Assistant and participant in the NSF Data Science Program at CSUN. Ezequiel holds a Master’s degree in Computer Science with a focus on Machine Learning from Georgia Institute of Technology and a Bachelor’s degree in Computer Science with a minor in Physics from California State University, Northridge.