AI & Data Engineer · ML Systems Builder
Diego
Villagran
Salazar
- Based in
- Mexico City
- Status
- Open to work
- Role
- AI & Data Engineer
- Studying
- ESCOM-IPN
I build intelligent systems that go from raw data to production — ML pipelines, LLM automation, and scalable infrastructure that teams can actually trust and ship with. Currently studying Data Science at ESCOM-IPN while working full-time on AI automation at EyeNet and managing a private GPU cluster for open-source LLM deployment.
01 // How I build systems
02 // What I optimize for
Accuracy with explainability
Strong metrics matter, but outputs need to be understandable to the people acting on them.
Automation with control
I automate workflows while keeping visibility, alerting, and quality checks in place.
Scalable foundations
Systems that keep working as data volume, users, and complexity grow.
03 // Current focus
AI & Automation at EyeNet
Building document processing pipelines with LLMs, n8n, and containerized microservices handling 10K+ daily requests.
Private GPU Cluster
Deploying and benchmarking open-source models (LLaMA, Mistral) for internal company AI projects — evaluating performance vs. cost vs. proprietary APIs.
Analytics products with measurable value
Dashboards and decision systems that shorten time-to-insight for real operational decisions.
Thesis
I build technology that is practical, measurable, and ready for production from day one.
Continuous learning backed
by recognized credentials.
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