MARCO CORTES
@marcocortes
I build deep learning pipelines for 3D seismic analysis and CO2 plume segmentation.
MexicoWhat I'm looking for
I've built a deep learning system for carbon capture, monitoring, and storage at Jarkol Technologies, working at the Instituto Mexicano del Petróleo alongside its research team.
I implemented a 3D U-Net from scratch to process and analyze 3D seismic volumes. Using open Sleipner field benchmark data, I validated the architecture for monitoring amplitude anomalies and delineating injected CO2 plumes in 3D over time.
I also programmed the end-to-end pipeline across preprocessing, training, and inference, structured to create new binary segmentation and classification models or scale through fine-tuning.
Previously, I extracted, cleaned, automated, processed, and visualized data for operational auditing at AAACESA, and supported data-quality workflows, anomaly reporting, pivot tables, and weekly reporting at Nielsen.
Experience
Work history, roles, and key accomplishments
Desarrollo de un sistema de Deep Learning para Captura, Monitoreo y Almacenamiento de Carbono (CCS). Proyecto ejecutado en las instalaciones del IMP (Instituto Mexicano del Petróleo) en colaboración con el equipo de investigación de la institución.
Responsabilidades:
Aplique una arquitectura 3D U-Net desde cero, programé e implementé la red neuronal profunda optimizada para el procesamiento y a
Deep Learning / Machine Learning Developer
Jarkol Technologies
Nov 2025 - Jan 2026 (2 months)
Developed a deep learning system for carbon capture, monitoring, and storage (CCS) at the Mexican Petroleum Institute. Implemented a 3D U-Net architecture from scratch for seismic data analysis, validated on the Sleipner field benchmark, and built an end-to-end pipeline for preprocessing, training, and inference.
Data Analyst
AAACESA Almacenes Fiscalizados
Jan 2024 - Mar 2024 (2 months)
Performed data extraction, cleaning, and visualization. Extracted CFDI invoices with billing stamps, automated data processing for operational audits.
Extracción, limpieza y visualización de datos. Adicionalmente, realizamos la extracción de CFDIs con los timbres de facturación, automatización y procesamiento de datos para auditoría operativa.
Fui responsable de identificar y reportar cualquier
anomalía en los datos, llevar a cabo la limpieza correspondiente, generar
tablas dinámicas, cruces de datos y aplicar filtros para verificar y registrar
los códigos de barras de los productos con los que Nielsen tenía convenios. Como parte del proceso,
también generaba informes semanales para mantener un seguimiento
preciso y asegurar la calidad
Identified and reported data anomalies, performed data cleaning, generated pivot tables, cross-referenced data, and applied filters to verify product barcodes. Produced weekly reports to ensure data quality.
Education
Degrees, certifications, and relevant coursework
Instituto Politécnico Nacional
Grado en Ingeniería, Ingeniería Geofísico
2010 - 2016
Instituto Politécnico Nacional
Bachelor of Engineering, Geophysical Engineering
2010 - 2016
Pursued a degree in Geophysical Engineering, focusing on the application of geophysical principles to data analysis and modeling.
Tech stack
Software and tools used professionally
Availability
Location
MexicoAuthorized to work in
Job categories
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