Javier Sagastuy is currently a Machine Learning Scientist at Wispr since July 2023. Javier has a solid background in machine learning and software engineering, having previously interned at NVIDIA as a Deep Learning Software/Research Intern focused on Autonomous Vehicle Perception and at Google as a Software Engineering Intern. Academic experience includes a Visiting Researcher position at Stanford University and a Research Intern role at IBM. Javier holds a PhD in Computational and Mathematical Engineering with a focus on Computational Neuroscience and a Master of Science in Computational and Mathematical Engineering, both from Stanford University. Additionally, Javier possesses dual Bachelor of Science degrees in Computer Engineering and Applied Mathematics from Instituto Tecnológico Autónomo de México and has served as a Computer Science Teacher at Escuela Moderna Americana. Educational foundations were established at Modern American School, culminating in completion of high school education.
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