luciano albanes

Software Development student. I'm into backend: architecture, system design and containers. I also work with data: cleaning, predictive models and visualization.

experience

  • 2019–now

    IT Consultant, GNC La Pausa

    • IT consulting and support for the CNG fuel station.
    • Built and maintain a Python service (FastAPI, SQLAlchemy, PostgreSQL, Docker) that pulls fuel dispenser transactions, stores them and exposes them through an API. In production since 2023; I analyze that data with R and Python.
    • Gathered the business requirements and designed the data model and architecture of the station's ERP: dispatches, payments, inventory and cash reconciliation. Currently in design.

academic projects

  • 2022

    Artificial Intelligence I, UNCuyo · repo

    Python and R: exploratory analysis, ID3 decision trees with cross-validation, agents, search and constraint satisfaction.

  • 2021

    Algorithms and Data Structures II, UNCuyo · repo

    AVL and red-black trees, graphs, dictionaries and dynamic programming in Python, with complexity analysis.

education

  • 2025–now

    University Technical Degree in Software Development

    Instituto Tecnológico Universitario (ITU), UNCuyo, Junín campus

    • First year completed: 13 courses passed by continuous assessment, average 9.85/10.
    • In progress: Advanced Databases (MongoDB), Software Design (Java and patterns), Cloud Computing, Methodology and Testing, Applied Operating Systems.
  • 2020–2025

    B.Sc. in Computer Science (partial studies)

    School of Engineering, UNCuyo

    • Passed: Algorithms and Data Structures I and II, Programming Paradigms, Operating Systems, Computer Architecture, and Probability and Statistics, among others. Average 8.71/10.
    • Artificial Intelligence I coursework completed in 2022.
  • cert.

    Microsoft Azure Fundamentals (AZ-900) · verify

stack

  • development

    Python, FastAPI, SQLAlchemy, Java, JavaScript, Docker, Linux, Git, Azure

  • data

    SQL, PostgreSQL, MongoDB, relational modeling, R