J

Juan Sebastian Peña Quintero

About

Detail

Devops Engineer | Python Developer | AI Integration Enthusiast | Self-learner
Colombia
Contact Juan regarding: 
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Full-time jobs
Starting at COP100k/hour ~USD26.8/hour

Timeline

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Résumé

Jobs verified_user 0% verified
  • Global Logic
    DevOps Engineer
    Global Logic
    Oct 2021 - Current (4 years 8 months)
    As a DevOps Engineer at GlobalLogic, I architected and maintained robust CI/CD pipelines for over 160 .NET applications, ensuring seamless integration and delivery across all environments (DEV, SIT, UAT, PROD) with a consistent deployment success rate. I championed code quality and reduced regression issues by implementing Dangerbot, an automated code review assistant integrated into the CI/CD pipeline. Collaborating closely with development and operations teams, I enhanced system reliability and performance. Crucially, I leveraged Pydantic within Python automation scripts and internal tools to define and validate critical data models and configurations, significantly improving the efficiency and accuracy of our DevOps processes. Addition
  • Slabcode S.A.S.
    Desarrollador de back-end
    Slabcode S.A.S.
    Feb 2021 - Aug 2021 (7 months)
    - Desarrollé microservicios escalables en Node.js, asegurando una alta cobertura de pruebas y un rendimiento robusto. - Implementé pipelines de CI/CD utilizando GitHub Actions, lo que contribuyó significativamente a mantener una alta calidad de código y realizar un escaneo de seguridad exhaustivo para nuestras aplicaciones. - Desplegué aplicaciones en AWS, utilizando eficazmente servicios como ECR y EC2. - Durante mi tiempo en Slabcode S.A.S., amplié mis conocimientos técnicos a través de cursos internos sobre tecnologías de vanguardia como IA (Inteligencia Artificial) y Tailwind CSS. - Apliqué habilidades prácticas en la extracción de texto, específicamente a través de técnicas de web scraping, en varios proyectos para recopilar y proc
  • U
    UniTime Administrator
    Universidad Nacional del Colombia
    Aug 2019 - Feb 2021 (1 year 7 months)
    As the UniTime Administrator at Universidad Nacional de Colombia, I was responsible for the comprehensive management and optimization of the institution's academic scheduling system. This critical role involved ensuring the accuracy, efficiency, and integrity of course timetables, room assignments, and faculty allocations across various departments. My responsibilities included: - Data Management and Text Extraction: I managed complex datasets inherent to academic scheduling. A key aspect of this involved developing and implementing processes for text extraction from diverse sources, such as departmental course catalogs, faculty availability forms, and historical data. This ensured accurate and timely ingestion of information into the Un
Education verified_user 0% verified
  • U
    Bachelor of Engineering
    Universidad Nacional del Colombia
    Jan 2015 - Jan 2021 (6 years 1 month)
Projects (professional or personal) verified_user 0% verified
  • A
    AOTY – Python API for Album of The Year
    May 2025 - Current (1 year 1 month)
    AOTY is a robust Python-based API designed to programmatically interact with and extract data from the "Album of The Year" website. This project serves as a powerful tool for music enthusiasts, data analysts, or developers looking to gather structured information on album releases, ratings, reviews, and other metadata available on the platform. It leverages advanced web scraping techniques to efficiently collect and parse data, providing a structured and accessible interface for consumption. Key Features & Technical Contributions: - Web Scraping & Data Extraction: Implemented sophisticated web scraping functionalities using selectolax to efficiently extract diverse data points from the Album of The Year website, including album titles, a
  • D
    Docker-AI CLI Tool - This tool acts as an intermediary between the user and the Docker daemon, leveraging Large Language
    May 2025 - Current (1 year 1 month)
    The Docker-AI CLI Tool is an innovative Python-based command-line interface designed to revolutionize Docker environment management. It serves as an intelligent intermediary, translating natural language user commands into precise Docker operations, thereby significantly enhancing accessibility and efficiency for users. The tool leverages cutting-edge Large Language Models (LLMs) via the google-adk framework to interpret user intent and execute Docker commands. Key Features & Technical Contributions: - Natural Language Processing (NLP) for Docker: Interprets complex natural language queries, such as "list all running containers" or "stop this service," and translates them into executable Docker CLI commands using LLMs. - LLM Integration &
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    LolSapiens
    Jan 2023 - Current (3 years 5 months)
    LolSapiens is a robust backend and frontend application designed to provide intelligent data analysis and insights for the popular online game, League of Legends. This project leverages advanced data processing, machine learning, and a modern API framework to deliver actionable information to users, all while maintaining high standards of code quality and security. Key Features & Technical Contributions: RESTful API Development: Developed a high-performance RESTful API using FastAPI and Uvicorn to serve game data, analysis results, and insights, ensuring efficient communication and scalability. Data Acquisition and Processing: Implemented robust mechanisms for collecting and processing large datasets related to League of Legends, likely u