I'm a backend-focused Software Engineer with a strong background in Linux server administration and a deep passion for understanding how systems work under the hood. Python is my primary language, and I use it to build reliable backend services, automate processes, and design efficient solutions.

Driven by curiosity and a strong “how and why” mindset, I constantly explore new concepts and refine my skills. This approach has led me to work not only with high-level frameworks, but also to dive into compiled languages such as C, C++ and Rust, strengthening my understanding of performance, memory management, and system-level programming.

• ⚙️ Strong interest in backend development, APIs, and data-driven solutions
• 🐍 Python enthusiast who enjoys solving problems and building real-world projects
• 🌍 Open to new job opportunities and collaboration on open-source projects
• 💬 Feel free to ask me anything or start a discussion here

My profesional carrer begins as an Data Specialist at Teleperformace Colombia, performing ETL task automations using python and SQL to process and load raw data into reliable pipelines. As an engineer graduated from Universidad de Colombia, I consistently aimed to deliver high-quality, reliable, and maintainable solutions. My strong analytical skills, ownership mindset, and ability to quickly understand complex systems led to a rapid professional growth, allowing me to advance into a Data Expert role. In this position, I took on greater responsibility in designing data workflows, improving system reliability, and collaborating closely with technical and business stakeholders to deliver scalable, production-ready solutions. Additionally, I assumed responsibilities in on‑premise server administration and technical leadership of exploratory projects, where I managed data flows using cloud-based solutions, specifically Microsoft Azure. This experience strengthened my ability to bridge on‑premise infrastructure with cloud environments while leading initiatives from concept to implementation.

• Languages
  • Python (primary language)
  • C, C++, Rust (learning & systems-level understanding)
• Frameworks & Libraries
  • FastAPI
  • Django
• Databases
  • PostgreSQL
  • TimescaleDB (time-series data)
• DevOps & Infrastructure
  • Linux server administration
  • Docker (production-oriented usage, image optimization & best practices)
  • Bash scripting
• Other
  • RESTful API design
  • Authentication & authorization (OAuth, Supabase Auth)

• fast-analytics
  Backend API designed to deliver web analytics at scale, built with FastAPI and TimescaleDB to efficiently handle large volumes of time-series data.
  The service is fully containerized using Docker, applying best practices to create small, secure, and reliable images, suitable for production deployments.

• recipes-api
  A RESTful API for a recipe library, developed with FastAPI, featuring authentication and authorization through Supabase.
  The project focuses on clean API design and secure access to protected resources.

• oauth-django
  A simple implementation of OAuth authentication, specifically the GitHub OAuth flow, built with Django.
  This project includes a minimal frontend to support the login flow, demonstrating backend–frontend integration when required.