Diego Emilio Barrera Hernandez
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Diego Emilio Barrera Hernandez

Diego Emilio Barrera Hernandez

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Mexico City, Mexico

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Jobs verified_user 0% verified
  • Amazon
    Software Developer Engineer I
    Amazon
    Sep 2024 - Current (1 year 7 months)
    Worked on tax and payment-related services at Amazon LATAM (InTech), delivering backend improvements directly impacting checkout and invoicing systems. Collaborated with cross-functional teams across the U.S. and Brazil (host and away teams) to implement tax rule changes and enhance payment form logic. Led and contributed to projects involving internal tooling, automation, and infrastructure improvements using TypeScript, Java, AWS (CDK, Lambda, DynamoDB), reducing manual processes and increasing system reliability.
  • P
    Application Developer Intern
    PSL Group
    Feb 2024 - Jul 2024 (6 months)
    Full-stack development of pharmaceutical systems using PHP, TypeScript, JavaScript, and React. Delivered key features and improvements leveraging AWS services within a Scrum environment. Implemented robust workflows with AWS CodeCommit and managed SQL/NoSQL databases, ensuring reliability and scalability. Worked on confidential internal projects for the pharmaceutical industry, with details not publicly disclosed.
  • General Electric
    Aviation Systems Intern
    General Electric
    Apr 2023 - Nov 2023 (8 months)
    Programmed and tested automation code for aircraft control systems (E747 and E737) using JIRA and IBM DOORS. Applied black-box and white-box testing methodologies within Agile environments (Scrum and Lean). Reviewed and analyzed software requirements in DOORS, adapting quickly to team workflows and standards.
Education verified_user 0% verified
  • I
    Computer Science
    ITESM, Queretaro Campus
    Aug 2019 - Jul 2024 (5 years)
Projects (professional or personal) verified_user 0% verified
  • A
    Aviation systems forecast
    Aug 2023 - Dec 2023 (5 months)
    Artificial intelligence and machine learning model for General Electric to predict when an airplane will enter stable cruise • AI/ML model to predict stable cruise phase using 36 GB of aircraft data. • Achieved 86% balanced accuracy with XGBoost; used Python, Pandas, NumPy, TensorFlow. • Performed data analysis and ETL processes; followed CRISP-DM methodology.
Awards verified_user 0% verified
  • VEX Robotics
    VEX National robotics Championship
    VEX Robotics
    Apr 2024 - Apr 2025 (1 year 1 month)
    Achieved ranking 1st place nationally, where I led the robot programming stage.
  • V
    VEX Robotics world championship
    Apr 2024
    Achieved ranking 33rd globally out of 100 teams, where I led robot programming stage.