Senior consultant specialized in Artificial Intelligence, Data Science, and Optimization for logistics, industrial processes, and decision systems. He translates business challenges into scalable technical solutions with tangible operational impact.
Hands-on experience in predictive modeling, operations research, and solution architecture for logistics, manufacturing, business analytics, and data-intensive decision systems.
Examples where advanced analytics became operational improvement, automated decision support, and stronger control over critical business processes.
Designed optimization models to improve delivery routing efficiency, reducing operational times and improving logistics performance for Ibis Creativa.
Built predictive models for gas and electricity consumption at Cerámicas Italia, enabling better planning and cost optimization.
Developed AI models with YOLO and OpenCV to classify delivery image quality, improving operational control and traceability.
Designed intelligent agents with LangChain for automated customer support, knowledge retrieval, and business process optimization.
Implemented ETL and reporting workflows with Python, Pandas, and visualization tools to accelerate insight generation and decision-making.
Strong ability to turn complex planning, network, and operations problems into scalable technical solutions with measurable business value.
A blended track record across applied consulting, technology leadership, and university teaching in AI, analytics, and automation initiatives.
Delivered AI-driven solutions across logistics, analytics, and automation. Built predictive and optimization models designed for real operational impact.
Led software development, analytics platforms, and decision-support tools with emphasis on scalability, adoption, and execution quality.
Taught Artificial Intelligence, Data Science, and Programming while mentoring applied research projects in intelligent systems.
Strategic thinking plus hands-on implementation to build production-ready solutions for automation, analytics, and scalable operations.
Delivered optimization initiatives that improved operational efficiency, predictive models that strengthened data-driven decisions, and AI systems ready for automation and scale.
Python, Machine Learning, Data Science, OR-Tools, Optimization, SQL, Power BI, Tableau, FastAPI, LangChain, OpenCV, and YOLO.
MSc in Physical Instrumentation, Technological University of Pereira. Electronic Engineering, Universidad del Valle.
Scalable architecture design, decision-oriented analytics, and technical execution aligned with business indicators, process constraints, and operational reality.
A short presentation of the professional profile, value proposition, and how AI, optimization, and analytics can become concrete advantages for complex operations.
Access the published demo to review a working example of automation and analytics applied to business use cases.
A shareable demonstration environment for meetings, commercial proposals, and quick client validation.