Miguel Ángel Osorio Sánchez

Miguel Ángel Osorio Sánchez

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Valle del Cauca Department, Colombia
Contact Miguel regarding: 
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Full-time jobs
Starting at USD1K/month
Flexible work
Starting at USD10/hour
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Résumé

Jobs verified_user 0% verified
  • D
    Backend development Engineer
    Dreamcode Software S.A.
    Aug 2021 - Aug 2024 (3 years 1 month)
    • Conducted failure analysis and refactored legacy systems to enhance performance, reliability, and maintainability, enforcing zero-tolerance for Kubernetes report errors. • Leveraged Java frameworks (Spring, Hibernate) and integrated database solutions via JDBC/ORM to accelerate development cycles and boost product quality. • Collaborated with cross-functional teams to design, develop, and deliver scalable software solutions for diverse clients, consistently meeting strict deadlines. • Established thorough documentation, rigorous testing, and comprehensive peer-review processes to uphold high code-quality standards. Spring
  • V
    Development Engineer
    Veevart S.A.
    Dec 2020 - May 2021 (6 months)
    • Designed and implemented scalable Salesforce solutions with cross‑functional teams, enhancing stability through rigorous bug fixes, exception handling, and testing, while improving code quality via comprehensive peer reviews.
Education verified_user 0% verified
  • U
    Master in Artificial Intelligence
    Universidad Internacional de la Rioja (Virtual)
    Oct 2024 - Current (1 year 7 months)
  • M
    Continuing Education Certificate in Leadership
    MIU - City University
    Aug 2024
  • Udemy
    The Complete Neural Networks Bootcamp: Theory Applications
    Udemy
    Jan 2024
  • Universidad Icesi
    Software Systems Engineer
    Universidad Icesi
    Jan 2015 - Feb 2021 (6 years 2 months)
Projects (professional or personal) verified_user 0% verified
  • I
    Implementation of Chatbot RAG
    Mar 2025 - Apr 2025 (2 months)
    Personal project: Designed and developed a cloud-based chatbot using RAG with Bedrock, OpenSearch and SageMaker. This chatbot retrieved information based on a series of documents uploaded to a S3 bucket.