Computer Science and Technology student at Tecnológico de Monterrey · Data Engineering · Cloud Platforms · Applied AI
I build data pipelines, analytics platforms and applied AI systems that connect operational needs to reliable decisions. I start by understanding how work happens, where data comes from and what can fail; then I shape the data model, architecture and delivery around traceability, adoption and measurable outcomes. Expected graduation: June 2027.
| ~USD 284K | 1 IEEE paper | 7 certifications | 3 languages |
|---|---|---|---|
| Annual savings contributed to a CEMEX replenishment initiative | Peer-reviewed research on IoT and AI neonatal monitoring | Oracle, Scrum.org and PMI | Spanish native · English C1 · German A1 |
Email · carlos.sanchez.gtz.it@gmail.com · A01412419@tec.mx
Phone · +52 833 367 4769
Profiles · LinkedIn · Google Scholar · ORCID · GitHub
| Organization | Role and selected work |
|---|---|
HEINEKEN México |
Data Engineer Intern · Aug 2026–Jan 2027 Operate recurring pipelines across Azure Blob Storage and Databricks; automate file transfer and preparation; develop analytics-ready layers for Power BI; support DataOps validation, release controls and architecture documentation. |
CEMEX |
Global Data Science Intern · EPAM NEORIS collaboration · Jan–Apr 2026 Built Python and SQL workflows across Snowflake, Databricks and Azure for replenishment, forecasting and inventory planning. Translated Mexico and U.S. operating constraints into reusable data rules, contributing to an initiative associated with approximately USD 284K in annual savings. |
FEMSA |
Enterprise GRC/IRM platform architecture · Aug–Dec 2026 Architecting a vendor-neutral platform across cloud and on-prem environments, with a canonical enterprise model, governed AI, observability and post-quantum cryptographic assurance. |
Santander |
Document and training analytics platform · Aug–Dec 2025 Designed MySQL data models and ETL pipelines for individual and branch dashboards; defined the AWS architecture and coordinated delivery through GitHub and Scrum. Project repository |
![]() Cruz Roja Mexicana |
Completed project This project is complete and is not yet listed in my résumé. I am keeping this entry high-level until its project description is ready to publish. |
Salva Systems |
Co-founder · Data & Product Development · Mar 2026–present Building Aplomo, a geospatial platform for industrial-yard inventory and truck traceability, and ATENOR, a multi-business WhatsApp platform for customer, catalog, conversation and order workflows. |
| Project | What I built |
|---|---|
| Aplomo | Industrial-yard operations: geospatial inventory, material locations, appointments, capacity and truck traceability. Repository · Project site · Salva Systems |
| ATENOR | Multi-business WhatsApp workflows for customers, catalogs, conversations and orders, with AI-assisted responses, staff review and reporting. Product overview |
| NeoGuard | Data ingestion, database design, analysis and visualization for an IoT and AI neonatal-monitoring system. IEEE paper |
| CausalXAI | Explainable anomaly diagnosis with causal graphs, residual scoring, graph optimization and robustness testing. Repository |
| Industrial energy decision support | FastAPI, RAG and a local LLM for cited report evaluation, validated inputs and reproducible calculations. |
![]() Cáritas de Monterrey |
Two implementations: a C# backend and REST API with client applications developed against that API, plus a separate native Swift app built for class. C# backend and API · Native Swift app |
| AI in Education: NeoGuard Advanced IoT and AI enabled Incubator for Neonatal Health Monitoring Co-authored peer-reviewed IEEE paper presented at LARC-LARS. IEEE Xplore · Google Scholar profile |
Programming languages
Python · SQL · TypeScript · C# · Java 25
Data engineering and analytics
Data cleaning · Exploratory data analysis · ETL/ELT · Data modeling · Data pipelines · Pandas · NumPy · Power BI · Tableau · Looker Studio
AI and data science
scikit-learn · RAG · LLM evaluation · Explainable AI · Causal graphs · Governed AI agents
Cloud and data platforms
Microsoft Azure · AWS · Snowflake · Databricks · PostgreSQL · MySQL · SQL Server · Supabase
Applications, architecture and delivery
FastAPI · ASP.NET Core · REST APIs · React · Spring Boot · Spring Modulith · Apache Camel · OpenTelemetry · Azure DevOps · Git · GitHub · Docker · OCI containers · Kubernetes
I co-founded Salva Systems with my close friends and collaborators Lehi Salvador and Herrdelta83. We build with direct feedback, shared ownership and a strong connection between product decisions and the work people need to get done.
| Project | |
|---|---|
![]() |
Puente Impacto · Repository |
| Archivo STEAM · Repository | |
| Salva Systems · Salva Exclusive Caps · RUNIIS · Personal portfolio · Salva Systems product site |
GitHub statistics summarize public activity; the native contribution calendar and activity timeline appear directly below the profile README.
Data, software and systems built with purpose.






