Francisco Roman Peña De La Rosa
About Francisco Roman Peña De La Rosa
Francisco Roman Peña De La Rosa is a Generative AI Engineer currently working at Porter Novelli in Ciudad de México, with a strong background in data science and machine learning. He has held various engineering roles across multiple companies and holds several advanced degrees in statistics, data science, and artificial intelligence.
Work at Porter Novelli
Currently, Francisco Roman Peña De La Rosa serves as a Generative AI Engineer at Porter Novelli, focusing on continuous growth. He has been with the company since 2023. Prior to this role, he held various positions at Porter Novelli, including Senior Data Scientist & BI Executive from 2018 to 2021 and Machine Learning Specialist & Artificial Intelligence Researcher for Microsoft LatAm from 2020 to 2021. His experience at Porter Novelli encompasses a range of responsibilities in data science and artificial intelligence.
Education and Expertise
Francisco has a robust educational background in statistics, mathematics, and artificial intelligence. He studied at Centro de Investigación en Matemáticas (CIMAT), achieving a specialization in Statistical Methods from 2021 to 2022. He also holds a Master's degree in Data Science and Information from INFOTEC, obtained between 2021 and 2023. Additionally, he completed a Master of Engineering in Supply Chain Management at Universidad Autónoma del Estado de México from 2016 to 2018. His expertise includes advanced AI tools such as TensorFlow, PyTorch, and various GPT architectures.
Background in Engineering and AI
Francisco has a diverse background in engineering and artificial intelligence. He worked as a Product Order Engineer at Emerson Process Management and as a Manufacturing and Quality Engineer at Hitachi Automotive Systems Americas. His experience also includes internships at Robert Bosch GmbH and IIT - Istituto Italiano di Tecnologia. He has held roles in machine learning and data engineering at Softtek and Easy Taxi, contributing to various projects in the AI domain.
Achievements in AI and Data Science
Francisco has achieved several certifications in artificial intelligence and machine learning. He completed the AWS Machine Learning Foundations Course through Udacity and earned a MasterTrack™ Certificate in AI and Machine Learning from Arizona State University. His hands-on experience includes working with Hugging Face Transformers Architectures and familiarity with Retrieval-Augmented Generation (RAGs) and Multi-Task Language. He actively keeps up-to-date with the latest trends and technologies in the AI field.
Professional Development and Certifications
Throughout his career, Francisco has pursued continuous professional development. He obtained a Certificate of Achievement in Project Management from Polytechnic West in 2015. His educational journey also includes a Technical Degree in Accounting and Finance from C.B.T No. 2 Ing. Rodolfo Neri Vela and a Mechatronics Engineering Degree from Mexico Technology Jobs. His commitment to learning is evident in his diverse academic pursuits and certifications.