Natalia Estefanía Jurado Espín
About Natalia Estefanía Jurado Espín
Natalia Estefanía Jurado Espín is an Embedded Software Engineer specializing in algorithms and systems for embedded AI applications. She has extensive experience in deep learning, embedded systems, and MLOps practices, having worked at various companies across multiple countries.
Current Role at Latent AI
Currently, Natalia Estefanía Jurado Espín serves as an Embedded Software Engineer at Latent AI, Inc. since 2022. In this role, she develops algorithms and systems tailored for embedded AI applications, with a focus on enhancing inference capabilities in edge devices. Her work involves integrating and testing software tools that support the Machine Learning lifecycle, emphasizing MLOps practices.
Previous Work Experience
Prior to her current position, Natalia held various roles in the technology sector. She worked as an Embedded Software Developer at TTTech from 2017 to 2018, focusing on Intra-ECU Communication Architecture in Vienna, Austria. She also gained experience as a Software Validation Engineer at Eaton from 2016 to 2017 in Prague, Czech Republic, and served as an Autonomous Driving Software Engineer at TTTech Auto from 2018 to 2023 in Munich, Germany. Additionally, she interned at Daimler Trucks North America in 2013, where she worked on automation for paint booth and paint quality control.
Education and Academic Background
Natalia studied at Tecnológico de Monterrey, where she earned a Bachelor of Applied Science (B.A.Sc.) and a Magister Scientiae (M.Sc.) in Electronics and Computer Science Engineering, graduating Summa Cum Laude from 2009 to 2015. She also attended Tampere University of Technology from 1965 to 2018, focusing on Electrical and Electronics Engineering. In 2012, she participated in an exchange program. Additionally, she studied Control Systems and Power Electronics at Scuola Superiore Sant'Anna, where she served as a Research Assistant in 2013.
Research and Teaching Experience
Natalia has contributed to academia as a Teaching Assistant and Research Assistant at Tecnológico de Monterrey from 2014 to 2015. In these roles, she supported educational initiatives and engaged in research activities, enhancing her understanding of embedded systems and machine learning. Her involvement in these positions reflects her commitment to both education and research in her field.
Technical Skills and Interests
Natalia possesses hands-on experience in deep learning, embedded systems, and compiler optimizations. She has a strong interest in product design, particularly for the Biomedical and Manufacturing industries. Additionally, she is passionate about creating environmentally sustainable electronic devices aimed at improving quality of life, reflecting her commitment to innovation and sustainability in technology.