Professional Tenure

Engineering Impact

Oct 2024 — Jan 2026 | Deloitte

AI & Data Engineering Consultant

SYS_OP_1
  • 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.
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Aug 2024 — Nov 2024 | Sailpoint

DevOps Intern

SYS_OP_2
  • 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.
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May 2023 — Aug 2023 | CLEBER

Software Engineer Intern

SYS_OP_3
  • 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.
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Apr 2023 — 16/31/2023 | Mostla - Tecnológico de Monterrey

Campus Intern (México)

SYS_OP_4
  • Developed a dashboard using Dash Python to show statistics on a emotion recognition system.
  • Researched effective AI tools to implement in classroom in order to improve the learning experience.
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Apr 2023 — Jun 2023 | Mostla - Tecnológico de Monterrey

Campus Intern

SYS_OP_5
  • 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.
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Aug 2021 — Jun 2023 | VantTec (Undergratuade Research Student Group)

Circuit Design and Embedded Development Team Leader

SYS_OP_6
  • Work on a Road Segmentation Deep Learning model to train a vehicle to detect different roads at the university campus.
  • Lead the development of an Unmanned Underwater Vehicle (UUV) overseeing the integration of software, electrical and mechanical areas for research related tasks.
  • Designed a PCB with a touchscreen to assist debugging tasks. The board is connected to an Unmanned Surface Vehicle via CAN protocol.
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Aug 2021 — Dec 2023 | VantTec Robotics Research Group | ITESM

Surface Driving Vehicle Team Member & Embedded Systems Team Leader

SYS_OP_7
  • 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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