Currently working as a software developer at Clarolab , Argentina
I’m currently working on
Backend services and data processing pipelines using Java(SpringBoot) and Python(Flask, FastAPI), with PostgreSQL/PostGIS,SQLite,MySQL or other DBs, Docker and Apache Spark.
Focused on building reliable APIs, background processing, and scalable data workflows for data-intensive systems.
Also an enthusiast and passionate about projects regarding microcontrollers such as Arduino or ESP32
I’m looking to collaborate on
Backend, data engineering or infrastructure projects, especially those involving API integrations,Big Data, distributed processing (Spark), containerized environments, or open-source tooling.
I’m looking for help with
Improving system design decisions, scalability patterns, and best practices around data pipelines, observability and cloud-native architectures.
I’m currently learning
Firebase(focusing on all services it offers but specially in the implementation of ai-powered apps exploiting the capabilities of Genkit AI), Python for data processing, Kubernetes fundamentals, and how to design systems that scale without becoming unmaintainable.
Also learning Terraform and Raspberry PI development
Ask me about
Java, Python, Linux (Ubuntu/Debian), Docker, PostgreSQL/PostGIS, Spark,data pipelines, Grafana dashboards, or why “it works on my machine” is not a production strategy.
Fun fact
I like digging into problems until I understand why they work, which usually results in multiple terminals, breaking down the system layer by layer - from infrastructure to code - because fixing the symptom is never enough if you don't fully understand and master how the system behaves under stress
