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Juan C. — Mid-Level AI Software Engineer from Argentina

Juan C.

Mid-Level AI Software Engineer

Argentina 1-2 years
Open to offersNew to Platform
Languages
SpanishEnglish
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About

Giorda J. is an experienced AI Engineer and FullStack Developer based in Córdoba, Argentina. Currently advancing in Systems Engineering at Universidad Tecnológica Nacional, he specializes in the development of AI-based and automation solutions. His professional journey includes designing workflows with language models for processing documents and automating tasks, notably reducing manual operations at RDM Logística. In the precision agriculture sector, Giorda engineered a platform using Computer Vision for automatic weed detection via drone imagery, employing tools like PyTorch and DeepLabV3+. Giorda has also contributed to backend and frontend developments using technologies such as Docker and Mapbox GL, enhancing user interaction and operational efficiency. Fluent in Spanish with advanced English skills, he demonstrates a robust technical acumen in applying cutting-edge solutions across diverse industries.

Experience

  • AI Software Developer

    RDM Logística · 2025 — 2026
    Designed and implemented workflows using LLMs to automate budget generation and document processing. Integrated Gemini API and Google services for automated information extraction from emails and PDFs. Developed intelligent validations and assisted responses to minimize manual operational tasks. Collaborated under Scrum methodology utilizing Jira for teamwork in sprints.

  • FullStack Developer

    Giorda Suspensión · 2026 — 2026
    Developed and deployed a website with an administrative panel for operational management. Implemented backend functionalities and managed deployment using Vercel.

  • AI Software Engineer

    Plataforma de Agricultura de Precisión · 2025 — Present
    Created a precision agriculture platform focused on Computer Vision for automatic weed detection using drone-captured aerial images. Trained and assessed semantic segmentation and instance segmentation models with PyTorch and DeepLabV3+. Built inference services with FastAPI for automated processing of high-resolution images using a patch-based architecture. Developed frontend functionalities with Next.js and Mapbox GL for interactive visualization of georeferenced detections and agricultural maps. Containerized services using Docker and deployed cloud infrastructure on Google Cloud Run. Designed backend endpoints for managing users, fields, detections, and prescriptions, and conducted functional tests to validate integration across frontend, backend, and AI models.

Skills & Expertise

AI and Data ScienceAI EngineerMachine Learning EngineerFull Stack DeveloperComputer Vision Engineer

Education

  • Bachelor's Degree in Information Systems Engineering
    Universidad Tecnológica Nacional · 2021 — 2026
  • Bachelor's Degree in Economics and Administration
    Instituto Pablo VI · 2015 — 2020