Professional record
Systems, shipped and supported
Professional experience across applied AI, data systems, cloud infrastructure, observability, and robotics.
2024—2026
Deloitte
AI & Data Engineering Consultant
- Designed ETL pipelines using AWS (S3, Lambda, Glue) and Python, and developed a Master Data Management (MDM) system to integrate data from multiple enterprise systems for an automotive sector client.
- Provisioned cloud infrastructure using Terraform following organizational compliance standards.
- Built SQL-based data transformation scripts (PostgreSQL, MySQL) and Power BI dashboards for real-time KPIs monitoring and reporting, effectively communicating findings to non-technical stakeholders.
2024—2024
- Improved automated monitoring solution using Prometheus and Grafana to track and prioritize JIRA issue backlogs, implementing scoring algorithms that rank issues based on severity and urgency.
- Optimized log management and visualization infrastructure using OpenSearch and Kubernetes, enhancing debugging capabilities and system observability.
- Managed Docker containerized applications and Kubernetes deployments using Git workflows and Agile practices.
2023—2023
CLEBER
Software Engineer Intern
- Participated in Agile development sprints including sprint planning, daily standups, delivering features on schedule using iterative development methodologies.
- Designed an internal tool to automate and standardize the vehicle imaging process for the pre-owned inventory using PostgreSQL database and AWS S3 storage.
2023—2023
Mostla - Tecnológico de Monterrey
Campus Intern
- Developed a dashboard using Dash Python to display statistics on an emotion recognition system.
- Researched effective AI tools to implement in the classroom in order to improve the learning experience.
2021—2023
VantTec Robotics Research Group | ITESM
Surface Driving Vehicle Team Member & Embedded Systems Team Leader
- Designed and validated a custom PCB with an integrated touchscreen HMI for debugging and diagnostics, implementing CAN protocol communication for unmanned surface vessel telemetry.
- Led cross-functional development of an Unmanned Underwater Vehicle (UUV) project, coordinating software, electrical, and mechanical integration while implementing embedded C firmware for sensor fusion and real-time control systems.
- Contributed to a Road Segmentation algorithm, implementing a deep learning pipeline for vehicle localization, training CNN models to classify and segment road surfaces across diverse terrain conditions for SDV navigation.
About
Engineering systems that meet the physical world.