From infrastructure to data
My background is in critical infrastructure (emergency generators, hydropneumatic systems, HVAC, mechanical and roofing systems) and in architecture, with design and data modeling. I did freelance projects for a fintech, but I wanted a formal position: I trained intensively in data analytics, and that opened the door to Maxcess International. Today, my practice and projects make me an Analytics Engineer, with continuous training in data and advanced AI.

Career
Three stages, one way of working: troubleshoot methodically, document and automate. Each floor is a stage; the dashed ones are goals.
- 05To be defined
- 04To be defined
Analytics Engineer
2026 – presentToday I build modeling layers, tests and end-to-end automation, documented and verified before they reach production.
WHAT I TOOK AWAY
Documenting and verifying isn't extra: it's half the job.Education
The degrees, certifications and courses behind my career, in two branches: technical and data. Pick a piece from the shelf to see its detail.
- DEGREE
- CERTIFICATION
- COURSE
Building and infrastructure technician
- INSTITUTION
- Technological high school (CBT)
- PERIOD
- 2022 – 2024
How a building, its systems and their maintenance work: the basis of how I think about systems.
Neural Force
A Mexican AI, automation and technology agency for small and mid-sized businesses. We build complete systems: 24/7 AI automations, chatbots, custom web systems and each client's own control platform. No generic software. I build and lead the development team.
- ROLE
- Associate · Development Lead
- SINCE
- 2026
- FOCUS
- AI and automation for SMBs