About myself

AI engineer skilled in end-to-end system development, from data prep to deployment, leveraging ML, Deep Learning, and NLP in impactful business settings. Led AI solutions that automated processes, enhancing decision-making speed and quality.

Job Description

Seeking a role to utilize my expertise in a culture of innovation and responsible experimentation. I value environments where collaboration and ethics shape the work ethos, aiming to craft robust solutions that enhance lives through technology.

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How I can help you

I transform complex data into robust AI solutions, ensuring seamless integration from data ingestion to deployment. My focus is on creating sustainable, production-ready systems that offer real-world impact, covering predictive modeling, NLP, and scalable pipelines.

People I am looking for

Key tasks include data-driven decision-making, scalable automation, and enterprise-grade AI. I start with deep diagnostics, align with stakeholders, and use a continuous improvement approach (PDCA) to ensure solutions are sustainable, measurable, and actionable.

Experience & Cases

Ideal clients are large-scale, high-demand organizations valuing technical quality and business impact. I've collaborated with corporates like Ab-InBev and Mercado Libre, and in academia for healthcare AI research, always focusing on translating complex problems into solid solutions.

Achievements include advanced analytics for Ab-InBev, AI systems for Mercado Libre, financial models for Banco Finandina, and healthcare AI at Universidad de La Sabana. I'm seeking health sector collaborations to enhance clinical decisions, optimize processes, and anticipate critical events.

How to contact