Summary
Ricardo Jiménez is a Senior Data Scientist and Systems Engineer with over a decade of experience designing and deploying AI-driven automation and GenAI solutions across enterprise domains such as procurement, inventory, and ITSM. At Capgemini he leads task-level process analysis and multi-agent architecture designs that turn complex workflows into scalable, production-ready automation—delivering projects like autonomous OCR+GenAI resume parsers that cut processing from hours to minutes. He blends hands-on MLOps, DevOps and cloud-native engineering with applied research—having taught ML at university level and published domain research—so he bridges academic rigor with operational delivery. Comfortable across the stack (Python, PyTorch/TensorFlow, Azure/AWS, FastAPI), he’s particularly skilled at hybrid AI pipelines for text extraction, embeddings and contextual retrieval. A detail that sets him apart: he has real-world experience migrating systems from SQL to NoSQL and running scrum teams, giving him both data architecture depth and proven delivery leadership.
10 years of coding experience
8 years of employment as a software developer
Especialista, Gobierno Electrónico, Especialista, Gobierno Electrónico at Universidad Nacional de Colombia
Ph. D. Inteligencia Artificial (c), Artificial Intelligence, Ph. D. Inteligencia Artificial (c), Artificial Intelligence at Universidad de La Sabana