💡 I love to build hardware and software.
🔭 I'm always looking how to improve things.
🌱 I am currently learning how try to find the simpliest solution in life.
💬 Ask me anything about art, science and technology.
👨🏻‍💻 My first programming languages was C and ASSEMBLER.
🎮 I am a terrible gamer, but I am unterrible with N64 gaming and Counter Strike slave.
⚡ Fun Facts: I like to make fashion tech and art installations.
💡 Side interests: Hardware projects, technology education, and creative tech installations.
🏗️ Philosophy: Own the deployment. Data science is only valuable when it runs reliably in production.

⚡ I like to make fashion tech and art installations.
🐳 I was a great gymnast but broke my knee and some other bones.

🚀 Machine Learning Engineer specializing in data pipelines and production ML systems.
🗺️ Building end-to-end data products from ingestion to visualization.
⚙️ Full-stack data engineer: I don't just train models—I architect, deploy, and maintain the entire data lifecycle.
🐳 Experienced with orchestrating complex pipelines and building scalable ETL workflows.
🐍 Production-grade Python developer with strong focus on clean, maintainable, modular code.

• Analytics: PostGIS, spatial indexing, polygon operations, coordinate transformations.
• Pipeline Orchestration: Airflow DAGs, automated ETL, data quality monitoring.
• Infrastructure: Kubernetes deployments, Docker containerization, CI/CD pipelines.
• Database Optimization: Query optimization, indexing strategies, massive-scale analytics.
• Production ML: Model deployment, monitoring, A/B testing, feature engineering.
• Clean Code: Modular Python, testing, documentation, code reviews.