Santiago Raúl Díaz
Co-founder · CTO
Santiago is a co-founder of Possition and leads the technical side: he defines the architecture of each solution, which models are used, and how the system integrates with what the company already runs.
He has worked in artificial intelligence, data science, and cloud architecture since 2017. He holds a Master's in Applied Statistics from Universidad Nacional de Rosario, with a thesis awarded the highest grade, and a Bachelor's in Information Systems from UADER. Before Possition he built fraud detection models for US e-commerce (Yofi, Chicago), the backend of a fintech platform (Marco Financial, Miami) and geospatial architectures on AWS for agriculture. He is a PhD candidate in Applied Sciences (UADER) and an AWS Certified AI Practitioner.
He is also an AI Solutions Architect at Globant since 2023, where he has delivered generative AI, agentic and data science solutions for global clients: a RAG platform and computer vision models (PaliGemma, YOLO) for Micron's semiconductor technical support, on a project for Google; a multi-agent conversational system that replaced Telecom's customer-service IVR; cloud cost-optimization chatbots for Deloitte; and automated statistical campaign reporting for Organon.
He is also a university lecturer at UADER's Faculty of Science and Technology, where he is Associate Professor in Integration Workshop and Teaching Assistant in the Artificial Intelligence course, and he has supervised four undergraduate theses on applied machine learning.
What they work on
- Inteligencia artificial generativa
- Arquitectura de software
- Arquitectura RAG
- Machine learning
- Estadística aplicada
- Agentes conversacionales (Dialogflow CX)
- Cloud computing (AWS y Google Cloud)
- Detección de fraude
- Datos geoespaciales
- Sistemas multiagente
- Computer vision (PaliGemma, YOLO)
- FinOps y optimización de costos de nube
- Series de tiempo (SARIMA, LSTM)
Education and certifications
Doctorado en Ciencias Aplicadas (en curso)
UADER · Desde 2026
Magíster en Estadística Aplicada
Universidad Nacional de Rosario · 2025
Licenciado en Sistemas de Información
UADER · 2018
Analista en Sistemas de Información
UADER · 2015
AWS Certified AI Practitioner
Amazon Web Services · Mayo 2025 · vence mayo 2028 · validación a459e0cd4ea7467098fb071304e79bf0
Verify credential ↗AI Fluency: Framework & Foundations
Anthropic · Agosto 2026 · credencial 8iozmipcn4e2
Especialista en Inteligencia Artificial
CACIC
Escritura científica en inglés
UADER
Professional background
— present
AI Solutions Architect
Globant · Remoto
Project for Google · Micron, through Globant.
RAG platform for Micron's semiconductor technical support (PPTX, DOCX and databases on GCP) and computer vision models with PaliGemma and YOLO to detect and classify defects.
— present
AI Solutions Architect
Globant · Remoto
Project for Telecom, through Globant.
Replaced the IVR with a multi-agent conversational customer-service agent on Vertex AI and Dialogflow CX.
— present
Generative AI Engineer
Globant · Remoto
Project for Deloitte, through Globant.
Chatbots that deliver cloud cost-optimization recommendations to billing-account owners, with substantial savings across AWS, Azure and GCP.
— present
Agentic development and data science
Globant · Remoto
Project for Organon, through Globant.
Automated reporting connecting GCP with Looker Studio, Meta Ads and Google Ads to statistically evaluate the performance of pharmaceutical advertising campaigns.
— present
Cloud Solutions Developer
GeoAgro by TEK · Rosario, Santa Fe (remoto)
Scalable system architecture for precision agriculture on AWS, processing geospatial and meteorological data.
— present
Backend Engineer
Marco Financial · Miami, EE. UU. (remoto)
Python backend for a fintech platform, integrating complex financial data sources and ensuring availability and security on credit transactions.
—
Machine Learning Engineer
Yofi (BotNot) · Chicago, EE. UU. (remoto)
Machine learning models for proactive fraud and bot detection in high-volume e-commerce.
—
AI Developer
MindTech
Project for Liverpool México, through MindTech.
AI solutions for internal process improvement and user experience in mass retail.
This person's professional experience, verifiable on their public LinkedIn profile. The clients named belong to those projects, not to Possition.
University teaching
— present
Director of LITEM — Emerging Technologies Research Laboratory
Facultad de Ciencia y Tecnología, UADER
Laboratory created by Resolution CD-FCyT 364/25. Lines of work: artificial intelligence, extended reality, human-computer interaction, data science, simulated quantum computing, intelligent interfaces, and digital fabrication.
— present
Associate Professor — Integration Workshop
Facultad de Ciencia y Tecnología, UADER
Appointed by FCyT Resolution 1325/2025, Information Systems degree programme.
— present
Course leader — Artificial Intelligence and Professional Ethics
Tecnicatura Universitaria en IA, FCyT-UADER
Course within the province's first university technical degree in artificial intelligence. It covers the technical foundations of AI alongside the social and ethical implications of its development and use.
— present
Teaching Assistant — Artificial Intelligence
Facultad de Ciencia y Tecnología, UADER
Annual Artificial Intelligence course, Information Systems degree programme.
—
Teaching Assistant — Human-Machine Interface
Facultad de Ciencia y Tecnología, UADER
Appointed by FCyT Resolution 729/2023.
— present
Coordinator — IDE-FCyT (Spatial Data Infrastructure)
Secretaría de Investigación y Posgrado, FCyT-UADER
Coordination of the Faculty's spatial data node, integrated with the Entre Ríos (IDEER) and national (IDERA) spatial data infrastructures. Publication of standardised geospatial services deployed in containers.
— present
Instructor — Spatial Data Infrastructure and Interactive Online Maps
Maestría Profesional en Geomática Aplicada a la Gestión de Riesgos Ambientales, FCyT-UADER
Postgraduate course categorised "Posgrado A" by CONEAU (national accreditation body), co-taught with Mg. Fernando R. Tentor.
Source—
Instructor — Python for Geomatics
CEREGEO
Research and thesis supervision
- Dirección de tesis: detección de fraude en pagos online mediante machine learning (2021).
- Dirección de tesis: análisis de redes criminales con aprendizaje automático (2023).
- Dirección de tesis: realidad virtual inmersiva en la enseñanza escolar (2023).
- Dirección de tesis: estudio de IA en puestos laborales y recursos humanos (UNER).
- Becario CEREGEO: automatización de datos meteorológicos para índices regionales de peligro de incendios.
- Proyecto PIDIN: algoritmos criptográficos aplicados a programación funcional.
Previous experience
Globant · GeoAgro by TEK · Yofi · Marco Financial · MindTech
Previous employers of this person, before Possition. They are not Possition clients.
Cases they worked on
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