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Carlos DiazCD
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Carlos Diaz

@carlosdiaz7

I build AI-powered enterprise automation and ERP integrations with IFS, Python, and SQL.

Colombia
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What I'm looking for

I'm looking to build intelligent enterprise systems where I can combine IFS ERP development, backend integrations, machine learning, and generative AI to create autonomous agents and practical automation solutions.

At Hoist Global Services, I develop and customize IFS Cloud and IFS Apps 10 solutions for enterprise clients including Hoist and Culligan Mexico. I build PL/SQL procedures, electronic invoicing routines, REST integrations, Aurena UI customizations, and JavaScript components.

I'm also a contributor to the IFS.ai Digital Workers research group, working on AI-powered autonomous agents through data labeling pipelines, ML model evaluation, and enterprise copilot architecture. My work combines 15+ years of electronic and telecommunications engineering experience with applied machine learning, enterprise systems, and automation.

I've also delivered technical proposals for industrial automation and electronic security, supported telecommunications and insurance customers, and performed quality assurance for Huawei and Movistar-ATC projects. I work bilingually in Spanish and English and use Python, TensorFlow, Scikit-learn, SQL, JavaScript, and MLOps practices to help deploy intelligent enterprise systems.

Experience

Work history, roles, and key accomplishments

HS
Current

ERP Consultant & IFS Developer

Hoist Global Services

Oct 2025 - Present (11 months)

Develop and customize IFS Cloud and IFS Apps 10 solutions for enterprise clients, including electronic invoicing compliance and REST API integrations. Contribute to the IFS.ai research group, developing AI-powered autonomous agents and data labeling pipelines.

Education

Degrees, certifications, and relevant coursework

Harvard University logoHU

Harvard University

Certificate, Artificial Intelligence

Completed CS50 AI – Artificial Intelligence with Python, covering search algorithms, CSP, probabilistic inference, machine learning, NLP, and neural networks.

Codecademy logoCO

Codecademy

Bootcamp, Data Science and Machine Learning

2024 - 2024

Completed a Data Science and Machine Learning Bootcamp, gaining practical skills in data analysis and machine learning.

Universidad Autónoma del Caribe logoUC

Universidad Autónoma del Caribe

Bachelor of Engineering, Electronic and Telecommunications Engineering

Earned a degree in Electronic and Telecommunications Engineering from Universidad Autónoma del Caribe in 2008.

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