MONTERREY, MEXICO COMPUTER SCIENCE

Carlos Sánchez
Gutiérrez

Data Engineering Cloud AI Systems

A visual record of the systems, research and experiences that shape how I build.

A CONTINUOUS TIMELINE

Engineering across data, software and the physical world.

From mechatronics to computer science, my path has moved between engineering, research and technology. This page connects the places, ideas and systems behind that journey.

2023TAMPICO

THE BEGINNING

Tecnológico de Monterrey

Campus Tampico · Mechatronics and Industrial Engineering

My university path began in Tampico, exploring engineering through the interaction of machines, processes and people.

Illustrative line drawing showing a transition from Tampico to Monterrey
Two campuses. A growing view of engineering.
2024MONTERREY

A NEW DIRECTION

Data Science and Mathematics

Tecnológico de Monterrey · Campus Monterrey

A move to Monterrey and a deeper focus on mathematical thinking, data and the foundations behind intelligent systems.

StatisticsDataOptimizationMachine learning
2025SOFTWARE & RESEARCH

BUILDING WITH PURPOSE

Computer Science and Technology

From connected devices to production data

I shifted my studies toward software and computing systems, applying that perspective to collaborative engineering projects and research.

Illustrative flow from connected sensors to data processing and a monitoring interface
Conceptual map of connected sensing, data processing and monitoring.
NeoGuard

Built data ingestion, database, analysis and visualization workflows with Python, SQL and Oracle APEX for an IoT and AI neonatal-monitoring system. Co-authored the peer-reviewed IEEE paper “AI in Education: NeoGuard Advanced IoT and AI enabled Incubator for Neonatal Health Monitoring,” presented at LARC-LARS. IEEE paper · DOI 10.1109/LARS69345.2025.11273013

Santander

Designed MySQL data models and ETL pipelines for a cloud document and employee-training platform, with individual and branch dashboards. Defined the AWS architecture and coordinated delivery with GitHub and Scrum.

2026DATA & CLOUD

WORKING AT SCALE

Data platforms in industry

From source systems to decisions

My work has increasingly centered on data engineering, analytics and cloud systems: building dependable flows from operational data to useful outcomes.

Illustrative pipeline connecting source systems, a data platform and analytics
Illustrative map, not a representation of a confidential client architecture.
Industry

CEMEX · Global Data Science — 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 with approximately USD 284K in annual savings.

HEINEKEN México · Data Engineering — Working with Azure Blob Storage and Databricks pipelines, PowerShell automation, analytics-ready data layers and Power BI delivery.

FEMSA · PQES — Designing a vendor-neutral GRC/IRM platform architecture with multi-cloud and on-prem deployment, governed AI, observability and post-quantum cryptography.

Research & products

CausalXAI — Anomaly diagnosis using causal graphs, residual scoring, graph optimization and robustness testing.

Industrial energy research — A FastAPI prototype combining RAG and a local LLM for cited report evaluation, data validation and reproducible energy calculations.

Salva Systems — Aplomo organizes geospatial yard inventory, appointments and truck traceability; Atenor structures WhatsApp customer, catalog, conversation and order data for AI-assisted operations.

Cáritas de Monterrey — Designed a SQL Server and ASP.NET Core system with REST APIs, authentication, validation and audit logging for social-assistance operations.

AccessFlow — An accessibility-focused iOS concept exploring SwiftUI, GitHub data and on-device AI.

Community

Archivo STEAM and Puente Impacto are part of my work in education, community programs and access to technology.

2027NEXT MILESTONE

IN PROGRESS

Still building.

The timeline continues. The next milestone is completing my degree in Computer Science and Technology.

EXPECTED GRADUATION

DECEMBER 10, 2027

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