Germán Eduardo Baltazar Reyes

Machine Learning Developer at Enhance IT

Germán Eduardo Baltazar Reyes has work experience with two companies. From 2022 to the present, they are employed at Enhance IT as a Machine Learning Developer. Prior to this, from 2017 to 2022, they worked at Tecnológico de Monterrey. At Tecnológico de Monterrey, Germán held two roles: College Professor and PH.D. Research Student. As a College Professor, they were responsible for designing and teaching an introductory class on electronics, specifically Digital Systems. Germán Eduardo also designed and taught topics and theoretical concepts, as well as facilitated practical activities in laboratory sessions. As a PH.D. Research Student, Germán focused on researching Machine Learning and Deep Learning algorithms based on Natural Language Processing (NLP). Germán Eduardo also wrote and presented research results in international conferences and scientific journals.

Germán Eduardo Baltazar Reyes has a diverse education history. Germán Eduardo first attended Tecnológico de Monterrey, where they earned a Bachelor's degree in Engineering in Telecommunications and Electronic Systems from 2012 to 2017. Following this, they pursued a higher level of education at the same institution and obtained a Doctor of Philosophy (PhD) degree in Engineering Sciences from 2017 to 2021.

In addition to their formal education, Germán has also obtained several certifications. Germán Eduardo completed various programs and courses on Coursera, such as "Google Project Management Certificate," "Programa Especializado - Machine Learning on Google Cloud," and "Apply Generative Adversarial Networks (GANs)." Germán Eduardo also obtained certifications in "Text Mining and Analytics," "Convolutional Neural Networks," "Programa Especializado - Deep Learning," and others. Furthermore, Germán has obtained practical certifications like "Taking Physical Measurements" and "LabVIEW Programming" from NI (National Instruments).

Overall, Germán Eduardo Baltazar Reyes has a strong educational background with a combination of academic degrees and practical certifications, demonstrating their expertise in engineering sciences and a range of related fields.

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Timeline

  • Machine Learning Developer

    May, 2022 - present