Curriculum Vitae

Andrés E. Rosso-Mateus, PhD

Computer Scientist specializing in AI, Biomedical NLP, Blockchain, and Fintech Innovations

Executive Summary

Dr. Andrés E. Rosso-Mateus is an internationally recognized Computer Scientist with over 15 years of experience in AI, NLP, and blockchain-based financial systems. He has pioneered AI-driven credit risk models, fraud detection systems, and biomedical NLP solutions, achieving top placements in global competitions such as BioASQ.

As Chief Technology Officer (CTO) at KEO, Dr. Rosso-Mateus integrates AI and blockchain technologies, driving innovation in fintech and enterprise systems. He serves on the Board of Directors at ICCP, shaping global standards for AI certification.

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Education

PhD in Computer Science (Cum Laude)
Universidad Nacional de Colombia, 2021
- Thesis: Deep Learning Question Answering Method Over Mixed Closed-Domain Information Sources
MSc in Computer Science
Universidad Javeriana, 2013
Specialization in Applied Mathematics
Universidad Sergio Arboleda, 2015
BSc in Computer Science and Engineering
Universidad Distrital Francisco José de Caldas, 2007

Leadership and Board Roles

Chief Technology Officer (CTO)

KEO (2021 – Present)

Patented the Settlement Card (US 18/508,280) and developed AI-driven fintech innovations.
Enhanced credit risk models and fraud detection systems with machine learning.
Spearheaded blockchain integrations, improving security and scalability in decentralized finance (DeFi).

Director of New Projects

ICCP Board of Directors (2024 – Present)

Developed global AI certification frameworks, ensuring alignment with cutting-edge industry standards.
Guided strategic decision-making to expand ICCP’s role in professional certification for data professionals.

Chief Analytics Officer (CAO)

MO Technologies (2017 – 2020)

Invented the ML-based Creditworthiness System (US 16/183,782) for real-time loan issuance.
Reduced bad debt rates by integrating advanced AI pipelines.

Development Manager

Experian – DataCrédito (2009 – 2014)

Built advanced fraud detection products and launched a microfinance credit-scoring platform.

Professional Experience

NLP & ML Technical Leader

YSEOP (2020 – 2021)

Researched ontologies and knowledge graphs for domain-specific text generation.

Product Architect

Easy Solutions (2015 – 2016)

Developed fraud detection systems using MapReduce and advanced ML methods.

Technical Leader

Netinfo PLC (2009)

Developed secure internet banking solutions with cross-border compliance.

Academic Experience

PhD Researcher – Biomedical NLP

Universidad Nacional de Colombia (2016 – 2020)

Conducted doctoral research in Deep Learning, leading to top placements in BioASQ competitions.
Developed pipelines integrating ontologies and semantic representations for biomedical QA.

Professor, Master in AI

Universidad Sergio Arboleda (2021)

Taught advanced courses on NLP, Deep Learning, and Reinforcement Learning.

Instructor in NLP and Deep Learning

United Nations (2021)

Delivered training to statisticians on ML and NLP techniques for data projects.

Patents

Settlement Card with Locked-In Merchant Restrictions (US 18/508,280)
Enhanced transaction security by restricting payments to pre-approved merchants.
ML-Based Creditworthiness System (US 16/183,782)
Machine learning system for real-time credit risk assessment.

Key Achievements

AI Competition Recognition:
- Top 1st and 2nd placements in BioASQ (2018, 2019, 2023).
Blockchain Integration:
- Integrated AI and blockchain for scalable, secure financial solutions.
ICCP Leadership:
- Designed global standards for AI certification.

Andrés Rosso-Mateus, PhD