Giancarlo Morillo is a visionary technology leader and Data Science Engineering Manager with nearly two decades of experience in software architecture, artificial intelligence, and data engineering. Currently a key leader at LexisNexis, Giancarlo founded and manages the Entity Authorities data team, where he oversees a $10M operating budget and a team of 24 specialists. His leadership was instrumental in the development of Nexis+AI, a cutting-edge generative AI product that received the "Best Innovation in Generative AI" award at the 2025 AI Tech Awards. Giancarlo’s career is defined by his ability to transform complex data sets into high-value assets for law firms, courts, and major corporations, bridging the gap between deep technical engineering and executive-level business strategy.
Giancarlo’s extensive professional background spans prestigious organizations such as Hearst, Time Inc., and About.com, where he specialized in machine learning prototyping, DevOps, and full-stack development. As a founder of the multidisciplinary firm Level-G since 2007, he has cultivated a diverse skill set ranging from software architecture and R&D to legal composition and business administration. This rare combination of entrepreneurial grit and technical mastery allows him to approach organizational challenges with a holistic perspective, ensuring that data-driven products are not only innovative but also operationally efficient and commercially viable.
A graduate of Carnegie Mellon University with a degree in Digital Media and Entrepreneurship, Giancarlo’s academic and professional pursuits reflect a deep-seated curiosity for the intersection of human-computer interaction and artificial intelligence. He holds several high-level certifications, including Google Cloud Architect and AWS Cloud Practitioner, underscoring his commitment to maintaining a state-of-the-art technical edge. Whether leading large-scale data teams or architecting analytics layers for national rollouts, Giancarlo brings a unique blend of creative problem-solving and rigorous engineering discipline to the non-profit and private sectors alike.
