Trayectoria profesional

Sistemas implementados y operados

Experiencia profesional en IA aplicada, sistemas de datos, infraestructura cloud, observabilidad y robótica.

El registro técnico detallado está disponible por ahora en inglés.

2024—2026

Deloitte

Consultor de IA e Ingeniería de Datos

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

Practicante de DevOps

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

Practicante de Ingeniería de Software

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

Practicante de Campus

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

Miembro del equipo SDV y líder de Sistemas Embebidos

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.

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