About

Adrián T. is a seasoned engineering manager with over 6 years of experience in software engineering, information security, and telecommunications engineering. He is currently the Manager of Structured Data Engineering at Recorded Future, where he leads a team of eight direct reports in developing custom data-driven applications and exploring new use cases and capabilities for the company's unique dataset. Adrián's competencies include information security, data science, Python, Java, and computer networks. He provides architectural advice and development guidelines on data-driven projects and coordinates efforts with teams across the organization, from engineering to product management, to ensure successful project delivery. Prior to his current role, Adrián served as a Senior Data Engineer on the Data Science team at Recorded Future, where he developed new products focused on delivering accurate verdicts to clients in an escalable and resilient way. He defined and implemented best practices around software development and data engineering across the Data Science organization and provided mentorship and guidance for peers and junior engineers. Adrián also has experience as a Data Engineer at Recorded Future, where he developed new applications to extract high-fidelity intelligence from heterogeneous sources such as open-source feeds and structured vendor data. He analyzed Recorded Future's corpus to prototype new use cases and capabilities. Adrián holds a Master's degree in Computer Science with a Specialization in Information Security and Assurance from the Illinois Institute of Technology and a Master's degree in Telecommunication Engineering from the Universidad Politécnica de Madrid. He also has a Bachelor's degree in Telecommunication Engineering from the same institution. Overall, Adrián is a highly skilled and experienced engineering manager with a strong background in data engineering, data science, and information security. He is passionate about developing custom data-driven applications and exploring new use cases and capabilities for unique datasets.