Modulai
Abgeiba Isunza Navarro has a diverse work experience in the field of engineering and technology. Abgeiba started their career as a Graduate Engineering Trainee at BBVA, where they evaluated and tested natural language units and text analytics services. Abgeiba also refactored and launched the first API for the AI Global Team in Mexico.
Later, Abgeiba worked at Ericsson as an Innovation Intern and R&D Summer Intern. Abgeiba then became a Master thesis R&D student, where they likely conducted research in a specific area.
Abgeiba continued their career at Ericsson in 2020 as an R&D Summer Intern, gaining further experience in the field.
Currently, they are employed as a Machine Learning Engineer at Modulai, where they are likely involved in developing and implementing machine learning algorithms and models.
During their time at Tecnológico de Monterrey, Abgeiba served as a Teacher Assistant for various engineering courses. Abgeiba participated in projects involving developing schematic circuits, printed circuit boards (PCBs), and programming microcontrollers. Overall, Abgeiba's work experience showcases their strong expertise and involvement in the fields of engineering and technology.
Abgeiba Isunza Navarro started their education in 2012 at Tecnológico de Monterrey, where they pursued a Bachelor of Science degree in Telecommunications and Electronic Systems Engineering. Abgeiba completed their undergraduate studies in 2017. In 2016, they had the opportunity to study abroad at the Korea Advanced Institute of Science and Technology, where they obtained a Bachelor of Science degree in Electrical and Electronics Engineering.
Building on their undergraduate education, Abgeiba Isunza Navarro furthered their academic pursuits by enrolling at KTH Royal Institute of Technology in 2018. Here, they pursued a Master of Science degree in Machine Learning within the field of Computer Science. Abgeiba'smaster's program concluded in 2020.
Modulai
Modulai delivers machine learning products and projects to selected clients, helping them to be even more successful in creating value from data.Modulai’s clients range from startups to multinational companies and they all have in common that machine learning is or could be central for how they operate, compete and create value. Services rangefrom advisory projects, feasibility studies to end-to-end development or refinement of machine learning systems and products. Modulai uses state-of-the-art techniques, always focusing on maximizing business impact, delivering solutions in areas such as credit risk, fraud detection, dynamic pricing, recommendation systems, opportunity spotting, logistics optimization, up-sell, cross-sales, smart building optimization, predictive maintenance and route planning.The team consists of machine learning engineers with a background and strong track record from some of Sweden’s most successful startups.