I'm a Backend Software Developer specializing in data-intensive systems, scalable architectures, and cloud infrastructure. My daily work centers on building robust APIs, engineering advanced data pipelines, and integrating AI-driven solutions into production environments.
- Data Engineering & Pipelines: Building advanced data acquisition pipelines to scrape, extract, normalize, and query high-volume datasets.
- Backend Architecture: Developing scalable APIs, optimizing SQL schemas, integrating third-party services, and ensuring high metadata integrity.
- AI & Automation: Engineering custom MCP servers, building automated workflows, and implementing NLP-based cleaning pipelines.
- DevOps & CI/CD: Managing GitHub repository workflows, containerizing applications with Docker, maintaining Linux servers, and deploying continuous integration pipelines.
I enjoy solving real problems and building useful projects, always open to learning new tools, languages and frameworks.
🎶 SongSeek – Full-stack music migration platform for converting playlists across Spotify, YouTube Music, Deezer, Apple Music, and more. Built with a robust Node.js/Express backend in TypeScript, it orchestrates complex multi-provider OAuth 2.0 flows, utilizes custom heuristic matching engines, and streams real-time updates via SSE.
🏛️ PuntoCultura – Web platform for managing events and cultural institutions for the Santiago del Estero Department of Culture. Backed by a normalized PostgreSQL database modeling complex event relationships, it features a comprehensive Django authentication system with JWT, granular Role-Based Access Control, and an intuitive management dashboard.
🔗 Visit the website · GitHub repo · Contributors
⚡ Quickpost – Ephemeral file and code snippet sharing platform built with a serverless architecture. Utilizes Cloudflare R2 for fast object storage with automated 24-hour expiry rules, Supabase for metadata, and Next.js for a public REST API.
🔗 Upload your files · View source code
📃 TuPDF - A client-side PDF toolkit for splitting, merging, optimizing, converting, and organizing pages — all processed locally in the browser. Built with Next.js, React, and TypeScript. The interface supports drag-and-drop organization, multilingual UI (8 languages), dark mode, and high-performance rendering.
🔗 Explore the tools · GitHub repo
✂️ Clipper – Minimal desktop script for trimming, encoding, and uploading videos using FFmpeg. Developed with Python and Tkinter, it includes an intuitive GUI, encoding presets, advanced trimming features, real-time progress updates, and built-in uploading to popular file sharing services.
