Sebastian Giraldo Perez
About Sebastian Giraldo Perez
Sebastian Giraldo Perez is a Tech Lead at DLA Piper, specializing in Azure DevOps, data architecture, and large language models. He holds a Master of Science in Cognitive Systems and has extensive experience in data science and engineering across various companies in Latin America and the United States.
Current Role at DLA Piper
Sebastian Giraldo Perez serves as a Tech Lead at DLA Piper, focusing on Azure DevOps, Data Architecture, and Large Language Models (LLM). He has been in this role since 2023, working in Palo Alto, California. His responsibilities include driving innovation in legal technology and overseeing the integration of LLM technologies, which has contributed to a 10% growth in profit margins.
Previous Experience at BairesDev
Before his current position, Sebastian worked at BairesDev as a Big Data Engineer for one year from 2022 to 2023. His expertise included PySpark, Scala, Airflow, and AWS, with a focus on data architecture and ETL processes. This role helped him develop skills in managing large-scale data systems.
Educational Background
Sebastian holds a Master of Science in Cognitive Systems from Open University of Cyprus, which he completed from 2020 to 2023. He also earned a Bachelor's degree in Mechatronics Engineering from Escuela de Ingeniería de Antioquia, studying from 2011 to 2017. His educational background provides a strong foundation in both engineering and advanced cognitive systems.
Expertise in Data Science and Engineering
Sebastian has extensive experience in data science and engineering. He worked at Bancolombia in various roles, including Senior Data Scientist, where he specialized in deep learning and web scraping. He also served as a Senior Data Scientist at Belcorp, focusing on optimization and fraud detection. His technical skills include Python and machine learning, which he applied in predictive modeling and income estimation.
Contributions to Legal Technology
At DLA Piper, Sebastian has made significant contributions to legal technology. He architected and deployed Azure DevOps infrastructure, which reduced deployment time by 50% and increased deployment frequency by 40%. Additionally, he directed technical aspects of LLM projects, enhancing legal document analysis accuracy by 30% through algorithm improvements.